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In this video, Top 10 No-Code App Builders in 2025, we explore the best platforms that let you create apps without writing any code. No-code tools have become more powerful, allowing anyone—from beginners to businesses—to build mobile and web apps easily. We’ll start by explaining how no-code platforms work, from setting up a database to designing your app and automating workflows. Then, we’ll dive into the top 10 no-code app builders, including Softr, Bubble, Glide, Adalo, and more. Some platforms are great for beginners, while others offer advanced features to build full-scale applications. Whether you want to launch a simple project, create a business tool, or build a scalable app, this video will help you find the best platform. No-code is changing the way apps are built, making development faster and more accessible.

00:00:00 – Introduction
00:01:15 – Step 1: Creating a Database
00:01:30 – Step 2: Building the User Interface
00:01:45 – Step 3: Logic and Automation
00:01:48 – 1. Softr
00:07:14 – 2. Bubble
00:11:15 – 3. Glide
00:14:52 – 4. Adalo
00:16:52 – 5. Backendless
00:18:54 – 6. Quickbase
00:20:06 – 7. Zapier Interfaces
00:22:17 – 8. FlutterFlow + Firebase
00:24:34 – 9. WeWeb + Xano
00:26:20 – 10. Bravo Studio

⏩ Check out More AI and ML Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#generativeAI #AITools #NoCodeApp #AI #GenAI #ArtificialIntelligence #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

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In this Advanced Excel Full Course, you will learn the basics of Microsoft Excel from scratch. Excel is a powerful tool used in businesses, schools, and homes worldwide for organizing, analyzing, and manipulating data.

This tutorial is designed for beginners who have little or no experience with Excel. You will learn to navigate the Excel interface, create and format spreadsheets, use basic formulas and functions, and generate charts and graphs.

We will start with the basics of Excel, such as opening a new workbook, entering and formatting data, and working with rows and columns. From there, we will move on to more advanced topics, such as using functions like SUM and AVERAGE, creating charts and graphs, and working with multiple worksheets.

Whether you are a student, a professional, or someone who wants to improve your Excel skills, this tutorial will provide you with a solid foundation to build upon. By the end of this training, you will have the confidence and skills to use Excel effectively in your everyday life.

So, grab a cup of coffee, sit back, and get ready to learn Excel in this beginner-friendly tutorial!

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We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.

#AdvancedExcelFullCourse #ExcelTutorialForBeginners #ExcelTraining #intellipaat

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🔵 Here is a breakdown of the topics covered in the video:
00:00:00 - Introduction
00:02:30 - What is Excel? & Why do we use Excel?
00:50:54 - What are Templates?
00:59:17 - Condition formatting
01:12:02 - What is List, Sorting the List & Format List
01:23:14 - Multiple Level Sort & Custom Sort
02:26:00 - What is Data Validation?
03:00:31 - What is Pivot Table?
04:38:22 - What is Statistics?
04:42:21 - What is Descriptive Statistics?
05:27:51 - Vlookup Function
06:19:48 - Index Function and Match Function
07:01:18 - Lookup Function
07:41:27 - What is VBA
07:42:56 - What is Macro
07:44:10 - Exploring Visual Basic Editor (VBE)
07:59:46 - Using Macro Recorder
08:13:16 - Interview Questions

----------------------------
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Will we see a new generation of airships roaming our skies? Head to https://www.odoo.com/r/veritasium to start building your own website for free.

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV

▀▀▀
Thank you to Eli Dourado for letting us explore the argument he describes in his article: https://ve42.co/Dourado

A huge thank you to Dan Grossman and Nick Allman for their time, help, and expertise.

Also a massive thank you to those who helped us understand the world of modern airships, and provided valuable feedback - Prof. Barry Prentice, Gennadiy Verba, Prof.
Christoph Pflaum, Heather Roszczyk, Dr. Casey Handmer, Richard Van Trueren, & Thibault Proux.

We are also grateful for the collaboration of the companies who are working hard to make this comeback happen - Atlas LTA, Buoyant Aircraft Systems International, Hybrid Air Vehicles, LTA Research, & Flying Whales.


▀▀▀
References:

How Airships Could Overcome a Century of Failure, Bloomberg Originals via YouTube - https://ve42.co/AirshipsCoF

Why the Airship May Be the Future of Air Travel, Undecided with Matt Ferrell via YouTube - https://ve42.co/FutureAirships

Airship, Wikipedia - https://ve42.co/AirshipWiki

Handmer, C. (2020). A quick note on airships. Casey Handmer’s Blog - https://ve42.co/Handmer2020

UNCTAD (2020). Review of Maritime Transport 2020 - https://ve42.co/RMT2020

National Transportation Research Center (2023). Freight Analysis Framework Version 5 (FAF5) - https://ve42.co/FAF5

Hybrid Air Vehicles (2023). HAV - https://ve42.co/HAV

LTA Research (2023). Lighter Than Air (LTA) Research - https://ve42.co/LTAResearch

OceanSkyCruises (2023). North Pole Expedition - OceanSkyCruises - https://ve42.co/NPExpedition

Flying Whales (2023). Flying Whales - https://ve42.co/FlyingWhales

Buoyant Aircraft Systems International (2023). BASI - https://ve42.co/BASI

Atlas LTA (2023). Atlas Electric Airships | Atlas LTA Airships - https://ve42.co/AtlasLTA

Prentice, B. (2021). Hydrogen gas-fuelled airships could spur development in remote communities. The Conversation - https://ve42.co/HydrogenAirships

Grossman, D. (2009). The Hindenburg Disaster. Airships - https://ve42.co/Hindenburg1

Hindenburg Disaster, Wikipedia - https://ve42.co/HindenburgWiki

What happened to the Hindenburg?, Jared Owen via Youtube - https://ve42.co/Owen2019

National Museum of the U.S. Navy. USS Akron (ZRS-4) - https://ve42.co/USSAkron

USS Akron, Wikipedia - https://ve42.co/USSAkronWiki


▀▀▀
Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Benedikt Heinen, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, MaxPal, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Written by Casper Mebius & Derek Muller
Directed by Casper Mebius
Edited by Jack Saxon
Filmed by Derek Muller, Jamie MacLeod, Han Evans, & Raquel Nuno
Animation by Mike Radjabov & Fabio Albertelli
Additional video/photos supplied by Getty Images, Pond5, & Envato Elements
Music from Epidemic Sound & Pond5
Produced by Casper Mebius, Derek Muller, & Han Evans


More footage & photos from:
Thermite Rail Welding video by dulevoz via YouTube - https://www.youtube.com/watch?v=rNjosF789X4

O’Rourke, T. (2016). Chronicle Covers: When the Hindenburg burst into flames. San Francisco Chronicle - https://ve42.co/Hindenburg2

Wind turbine blade transport video by DOLL Fahrzeugbau via YouTube - https://www.youtube.com/watch?v=5aPXuap0LZw

Wind turbine blade transport through mountains video by CGTN via Youtube - https://www.youtube.com/watch?v=9dtUrY8_1CM

Former Airship Hangar by Stefan Kühn - https://ve42.co/Aerium

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🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=23Jan2024MasterDATACLEANINGInEXCEL&utm_medium=DescriptionFF&utm_source=youtube
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Welcome to our comprehensive guide on 'Data Cleaning for Data Analytics'! In this video, we dive into the crucial world of data preparation, focusing on the essential process of data cleaning. Whether you're a budding data analyst, a business professional, or just someone fascinated by the power of data, this video is crafted to enhance your understanding and skills in data cleaning.

What You'll Learn:

Fundamentals of Data Cleaning: Understand what data cleaning is and why it's a critical step in data analysis.
Common Data Quality Issues: Identify typical challenges like missing values, inconsistent formats, outliers, and duplicate data.
Practical Techniques: Walk through real-world methods for tackling these issues, using popular data science tools and languages.
Automation Strategies: Learn how to automate repetitive tasks, making your data cleaning process more efficient and reliable.
Impact on Analysis: See how clean data leads to more accurate and actionable insights, enhancing the decision-making process.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalyticsForBeginners #DataAnalysis #DataAnalyticsTutorialForBeginners #DataCleaning #DataAnalysisConcepts #DataAnalystJob #DataAnalyst #DataAnalystSkills #Simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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Want to learn more? I’m hosting a 6-week live BootCamp for AI Builders.
👉 Save 40% on the New Years Cohort: https://maven.com/shaw-talebi/....ai-builders-bootcamp

This is the 6th video in a series on using large language models (LLMs) in practice. Here, I review key aspects of developing a foundation LLM based on the development of models such as GPT-3, Llama, Falcon, and beyond.

More Resources:
▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos Read more: https://towardsdatascience.com..../how-to-build-an-llm

[1] BloombergGPT: https://arxiv.org/pdf/2303.17564.pdf
[2] Llama 2: https://ai.meta.com/research/p....ublications/llama-2-
[3] LLM Energy Costs: https://www.statista.com/stati....stics/1384401/energy
[4] arXiv:2005.14165 [cs.CL]
[5] Falcon 180b Blog: https://huggingface.co/blog/falcon-180b
[6] arXiv:2101.00027 [cs.CL]
[7] Alpaca Repo: https://github.com/gururise/AlpacaDataCleaned
[8] arXiv:2303.18223 [cs.CL]
[9] arXiv:2112.11446 [cs.CL]
[10] arXiv:1508.07909 [cs.CL]
[11] SentencePience: https://github.com/google/sent....encepiece/tree/maste
[12] Tokenizers Doc: https://huggingface.co/docs/tokenizers/quicktour
[13] arXiv:1706.03762 [cs.CL]
[14] Andrej Karpathy Lecture: https://www.youtube.com/watch?v=kCc8FmEb1nY&t=5307s
[15] Hugging Face NLP Course: https://huggingface.co/learn/n....lp-course/chapter1/7
[16] arXiv:1810.04805 [cs.CL]
[17] arXiv:1910.13461 [cs.CL]
[18] arXiv:1603.05027 [cs.CV]
[19] arXiv:1607.06450 [stat.ML]
[20] arXiv:1803.02155 [cs.CL]
[21] arXiv:2203.15556 [cs.CL]
[22] Trained with Mixed Precision Nvidia: https://docs.nvidia.com/deeple....arning/performance/m
[23] DeepSpeed Doc: https://www.deepspeed.ai/training/
[24] https://paperswithcode.com/method/weight-decay
[25] https://towardsdatascience.com..../what-is-gradient-cl
[26] arXiv:2001.08361 [cs.LG]
[27] arXiv:1803.05457 [cs.AI]
[28] arXiv:1905.07830 [cs.CL]
[29] arXiv:2009.03300 [cs.CY]
[30] arXiv:2109.07958 [cs.CL]
[31] https://huggingface.co/blog/ev....aluating-mmlu-leader
[32] https://www.cs.toronto.edu/~hi....nton/absps/JMLRdropo

--
Homepage: https://shawhintalebi.com/
Book a call: https://calendly.com/shawhintalebi

Intro - 0:00
How much does it cost? - 1:30
4 Key Steps - 3:55
Step 1: Data Curation - 4:19
1.1: Data Sources - 5:31
1.2: Data Diversity - 7:45
1.3: Data Preparation - 9:06
Step 2: Model Architecture (Transformers) - 13:17
2.1: 3 Types of Transformers - 15:13
2.2: Other Design Choices - 18:27
2.3: How big do I make it? - 22:45
Step 3: Training at Scale - 24:20
3.1: Training Stability - 26:52
3.2: Hyperparameters - 28:06
Step 4: Evaluation - 29:14
4.1: Multiple-choice Tasks - 30:22
4.2: Open-ended Tasks - 32:59
What's next? - 34:31

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This video on Machine Learning Full Course video by Simplilearn, will help begin with the basics of Artificial intelligence and machine learning. This Machine Learning Full Course begins with an Introduction to Machine Learning, that helps you with a complete guide to mastering machine learning concepts and applications. It begins with an explanation of what machine learning is and offers insights into how to learn AI and ML effectively. The course includes a deep learning tutorial for beginners and introduces the best AI coding tools to boost productivity. Practical guidance on how to get a job in AI and the basics of machine learning sets the foundation for career advancement. Advanced topics like Q-learning, reinforcement learning, and LSTM (Long Short-Term Memory) are also explored. You’ll delve into linear algebra for machine learning, LLM benchmarking, and learn how to run Llama privately. Additional highlights include a stable diffusion tutorial, exploratory data analysis using Python, and tools like Meta’s new Llama 3.2. The course concludes with an in-depth look at the confusion matrix in ML, equipping you with both theoretical and practical knowledge for machine learning projects.

Following are the topics covered in this Machine Learning Full Course:
00:00:00 Introduction to Machine Learning Full Course
00:56:31 What is Machine Learning
00:58:05 How To Learn Artificial Intelligence and Machine Learning
01:12:13 Deep Learning Tutorial For Beginners
01:24:17 Best AI Coding tools
01:31:16 How to get a job in AI
04:28:15 Machine Learning Basics
04:29:05 What is Q Learning
05:19:32 Linear Algebra for Machine Learning
05:28:25 LLM Benchmarking
05:37:37 Run Lllama Privately
05:48:12 Stable diffusion tutorial
06:22:15 Exploratory Data Analysis Using Python
10:33:36 Reinforcement Learning
10:41:54 Meta New Lama 3.2
11:00:05 Confusion Matrix ML
11:06:17 What is LSTM

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⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

#MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

Key Features

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ PGP AI & ML completion certificate from Caltech CTME
✅ Masterclasses delivered by distinguished Caltech faculty and IBM experts
✅ Caltech CTME Circle Membership
✅ Earn up to 22 CEUs from Caltech CTME
✅ Online convocation by Caltech CTME Program Director
✅ IBM certificates for IBM courses
✅ Access to hackathons and Ask Me Anything sessions from IBM
✅ 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
✅ Seamless access to integrated labs
✅ Capstone projects in 3 domains
✅ 8X higher interaction in live online classes by industry experts

Skills Covered

✅ Statistics
✅ Python
✅ Supervised Learning
✅ Unsupervised Learning
✅ Recommendation Systems
✅ NLP
✅ Neural Networks
✅ GANs
✅ Deep Learning
✅ Reinforcement Learning
✅ Speech Recognition
✅ Ensemble Learning
✅ Computer Vision

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The Excel Full Course Video By Simplilearn will help you learn Microsoft excel from basics to advanced. The full course begins with an Introduction to Excel and covers everything from beginners to advanced, including creating funnel charts, mastering SUMIFS and AVERAGEIFS formulas, and advanced tips like the IF formula. You’ll also explore data visualization, building professional Excel charts, and creating dependent drop-down lists. Additionally, it includes modern tools such as Power Query, AI for data analytics, and even ChatGPT for dashboard building. This course also addresses essential topics like data cleaning, comparisons of data analysts vs data scientists, and understanding databases vs data warehouses.

00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=B7-uC-VvzBs&utm_medium=Description&utm_source=youtube

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In this comprehensive data analysis full course, you will learn everything you need to know to become a data analyst, from the basics of data analysis to the most advanced techniques. This course is designed for beginners with no prior experience in data analysis.

What you will learn in this course:

The fundamentals of data analysis
How to collect, clean, and prepare data for analysis
How to use Microsoft Excel and SQL for data analysis
How to visualize data using Tableau and Python
How to build and interpret statistical models
How to communicate data insights effectively

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=27Nov2023DataAnlayticsFullCourse&utm_medium=Description&utm_source=youtube

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Welcome to our in-depth tutorial on Ethical HackerGPT! In this video, we'll explore HackerGPT, a specialized version of ChatGPT designed specifically for cybersecurity and ethical hacking. With cyberattacks occurring every 39 seconds and causing billions in damages, HackerGPT provides crucial tools and knowledge to protect against these threats. Discover how HackerGPT can guide you through a variety of topics, including performing security assessments, ethical hacking techniques, and scripting for system security. HackerGPT adheres strictly to ethical guidelines, ensuring all guidance aligns with legal and professional standards. Learn how to become a skilled cybersecurity professional, equipped to defend against cyber threats ethically and effectively. Join us for this engaging and informative tutorial, and enhance your cybersecurity skills with HackerGPT.

Here in this Ethical HackerGPT Tutorial, we cover the following topics:

00:00 Introduction to Cyber Security
02:10 Exploring Ethical Hacker GPT
04:33 Asking General Cybersecurity prompts from Ethical HackerGPT
06:05 Asking Ethical Hacking prompts from Ethical HackerGPT
07:33 Asking Scripting and Automation prompts from Ethical HackerGPT
09:39 Asking Specific Security Tools prompts from Ethical HackerGPT
10:47 Asking Incident Response prompts from Ethical HackerGPT
12:40 Asking Advanced Topics prompts from Ethical HackerGPT
15:55 Asking Cybersecurity Policies and Compliance prompts from Ethical HackerGPT

FAQs

1. What is HackerGPT and how does it work?
HackerGPT is a specialized version of ChatGPT designed for cybersecurity and ethical hacking. It provides guidance on a wide range of security topics, including vulnerability assessments, ethical hacking techniques, and scripting for system security. HackerGPT helps users understand and mitigate potential cyber threats while adhering to legal and ethical guidelines.

2. How can HackerGPT help improve my cybersecurity skills?
HackerGPT offers expert advice and practical solutions for various cybersecurity challenges. It covers topics such as security assessments, ethical hacking, scripting for automation, and using security tools like Burp Suite and Nmap. This guidance helps users enhance their knowledge and skills in defending against cyber threats.

3. Is HackerGPT safe and ethical to use?
Yes, HackerGPT is designed to follow strict ethical guidelines. It does not provide assistance for any queries deemed unethical or illegal. Its purpose is to help users learn and practice cybersecurity techniques responsibly, ensuring all guidance aligns with legal and professional standards.

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#HackerGPT #hacker #cybersecurity #EthicalHacking #Hacking #2024 #simplilearn

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➡️ Cyber Security Expert
This cybersecurity expert program readies individuals for CEH, CompTIA Security+, and CISSP certifications, offering a holistic defense strategy against dynamic cyber threats. CEH emphasizes ethical hacking, CompTIA focuses on foundational security concepts, and CISSP covers advanced principles and management.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Get Lifetime access to self-paced videos
- CEH Exam Voucher with 6 months of complimentary iLabs access
- Live Classes by Accredited instructors
- Earn the requisite 30 CPEs required to take up the CISSP certification exam.
- Simulation tests focused on exam preparation

✅ Skills Covered
- Network Security
- Risk Management
- Network Packet Analysis
- Asset Security
- Disaster Recovery
- Encryption
- System Hacking
- Malware Threats
- Planning and Monitoring
- Identity and Access Management
- Forensics
- Cryptography
- System Penetration Testing
- Incident Management
- Pen Testing
- Vulnerability Analysis
- Software Development Security

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The Content Marketing Full Course by Simplilearn covers key areas such as creating content strategies, improving SEO, and using AI tools to boost marketing efforts. It begins with a Content Marketing Tutorial and explains how Google ranks websites through SEO audits and keyword research. The course features WordPress tutorials, MailChimp integration, and using ChatGPT for blogging, SEO optimization, and content creation. It also explores how to become a copywriter, sell ebooks using AI, and create digital products, highlighting modern methods to maximize digital marketing success.

Following are the topics covered in the Content Marketing Full Course:

00:00:00 - Introduction to Content Marketing Full Course 2025
00:01:53 - What is Digital Marketing
00:24:02 - Content Marketing for beginners
00:36:43 - Top 10 Digital Marketing Certifications For 2025
03:05:56 - Content Marketing Tutorial
04:14:40 - Content Marketing Strategy
04:21:57 - How does a Google rank Websites
04:36:09 - AEO Vs SEO
05:02:15 - Create Website using AI
05:10:35 - Keyword Research Tutorial
05:12:24 - Blogging with Chatgpt
05:27:27 - ChatGPT made SEO Easy
06:08:22 - Social Media marketing
06:29:16 - Youtube seo Optimization
06:37:33 - MailChimp Tutorial
07:02:12 - How to become copywriter
07:03:24 - Sell Ebooks using ChatGPT
07:39:59 - Create and sell digital products using AI
07:54:33 - ChatGPT for digital marketing
08:58:36 - DM Interview questions

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➡️ About Post Graduate Program In Digital Marketing:
Get a hands-on Live Interactive Learning experience with this Digital Marketing Course. Learn via fundamental and advanced material, preparing you for your Digital Marketing Career. Get a Meta Certified Digital Marketing Associate exam voucher worth USD $99 to showcase your skills.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Joint Purdue-Simplilearn Digital Marketer Certificate
✅ Become eligible to be part of the Purdue University Alumni Association
✅ Masterclasses delivered by Purdue faculty
✅ Harvard Business Publishing Cases
✅ Build your website & learn real-world hands-on digital marketing techniques
✅ Master sessions by Meta Blueprint trainer
✅ 6-credit transfer for the Purdue Online MS in Communication program
✅ Meta Certified Digital Marketing Associate exam voucher worth USD $99
✅ 5 Capstone problem statements and 15+ course-end projects
✅ 10+ case studies from brands like Adidas, KFC, Nike, Intel, etc.
✅ 35+ digital marketing tools
✅ Boost productivity with ChatGPT and AI tools (Blue Willow, Stable Fusion & Well Said Labs)
✅ Course aligned with Hootsuite and SE Ranking certification
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✅ Live classes delivered by Industry Experts along with self-paced content

Skills Covered
✅ Website Creation
✅ Behavioral Marketing
✅ Keyword Research
✅ Search Engine Optimization
✅ Search Engine Marketing
✅ Campaign Management
✅ Social Media Marketing
✅ Mobile Marketing
✅ Content Marketing
✅ Content Strategy
✅ Strategies for Paid Campaigns
✅ Analytics ROI and Evaluation
✅ AI Automation and Emerging Technology

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How To Train AI Models using Unsloth
Unlock the secrets to training powerful AI models that can outperform giants like Chat GPT and Claude, right from your personal computer and for less than $5! This video reveals how specialized, fine-tuned models can achieve superior accuracy on specific tasks compared to their larger counterparts. Discover the critical, yet often overlooked, aspects of AI training that big companies don't talk about, including the most effective ways to structure your data for success with tools like Unsloth. Whether you're a business owner, developer, or AI enthusiast, learn the practical steps to build your own custom AI solutions efficiently.

🔗 What We Cover:
- The Underdog Advantage: Understand why smaller, fine-tuned AI models can surpass large language models like GPT-4 in specialized tasks, backed by surprising accuracy stats.
- Cost-Effective AI Training: Learn how to train high-performing AI models in just a couple of hours on your personal computer for minimal cost (even free using Google Colab with a T4 GPU!).
- The Data Structuring Secret: Master the simple yet crucial two-column (instruction/input and output) data format required for effective model training with Unsloth, avoiding common pitfalls.
- Practical Fine-Tuning Examples: See real-world data structuring for an AI gym trainer and a customer service response bot.
- Step-by-Step Unsloth Tutorial: Follow along as we build an AI workout generator using Unsloth in a Google Colab notebook, from data preparation to model training and testing.
- Beyond the Hype: Uncover the techniques that companies like Google, DeepMind, and OpenAI use, adapted for your own projects.

💡 Embrace the Future of AI:
Step into the world of custom AI model training! This guide empowers you to bypass the need for massive datasets and expensive infrastructure. Learn the secrets to creating specialized AI that truly understands your unique context and delivers exceptional results.

Join me as I demystify AI model training, showing you exactly how to achieve remarkable performance without breaking the bank. Don't forget to like, share, and subscribe for more insights into practical AI implementation!

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Videos I Think You'll ❤️:
How To Install Text Generation Web UI
https://youtu.be/Lm2xpJ5TQBo

How To Use ChatGPT Inside Of Airtable
https://youtu.be/extjQChhE-M
========================

🎥 Video Breakdown
0:00 - Introduction: Training AI Better Than ChatGPT for Cheap
0:06 - The High Cost of Traditional AI Training
0:25 - The Big Secret: Smaller Models, Better Results?
0:47 - Why Fine-Tuned Models Outperform Giants (Study Results)
2:09 - The Power of Small Datasets (200-500 Examples)
2:20 - Why Specialization Beats Generalization in AI
2:34 - Critical Mistake: The Importance of Training Data Structure
3:14 - Simplifying Data Structure with Unsloth: The Two-Column Method
3:54 - Example 1: Structuring Data for an AI Gym Trainer
4:44 - Example 2: Structuring Data for Customer Service AI
5:43 - Step-by-Step: Training Your AI Model with Unsloth in Google Colab
6:01 - Demo: Building an AI Workout Generator - Data Prep
6:25 - Colab Setup: Choosing a Model (Meta Llama 3.1 8B) & Lora Adapters
7:39 - Training the Model: Settings & Process (Max Steps, Epochs, Learning Rate)
8:25 - Analyzing Training Results & Loss Rate
8:31 - Testing Your Fine-Tuned AI Model: Workout Generator in Action
9:01 - Conclusion: Train Your Own AI for Free/Cheap!
9:14 - Beyond Fine-Tuning: Access a Suite of AI Tools
9:29 - Join the AI Community & Waitlist

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This "Data engineer roadmap" Video By Simplilearn is a guide that outlines the essential skills and knowledge needed to become a successful data engineer. This tutorial covers a range of topics, starting with core concepts such as databases, SQL, and data modeling. From there, it progresses to data integration and ETL processes, including batch processing and real-time data pipelines. The roadmap also includes learning about distributed systems and technologies like Apache Hadoop and Apache Spark, as well as cloud platforms like AWS, Azure, and GCP. Overall, the data engineer roadmap provides a comprehensive path for acquiring the necessary expertise in data engineering. By following this roadmap, aspiring or experienced data engineers can develop the skills needed to design, construct, and maintain data infrastructure and systems, and contribute to building robust and scalable data solutions.

Below are Following Topics Covered in this Video:

00:00 Introduction to Data Engineer Roadmap
02:15 What is Data Engineering?
02:34 Why Pursue A Career in Data Engineering?
04:09 What does a Data Engineer do?
06:04 Data Engineer Skillset
08:13 Salary and Job Prospects
09:15 Comprehensive Roadmap to become a Data Engineer

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✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
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- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

👉Enroll now: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=9June2023DataEngineerRoadmap2023&utm_medium=Description&utm_source=youtube
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This video is your gateway to understanding Generative AI. We’ll explain what Generative AI is, how it works, and its advantages, along with ethical considerations. Discover Large Language Models like GPT and get hands-on with prompting techniques to create your own LLM app for Android. Explore top AI tools like ChatGPT and GitHub Copilot. Learn advanced concepts like Langchain and RAG. With demos and case studies, this video equips you with the skills to build advanced AI applications. Watch now and enhance your AI journey!

Learn the basics, advanced strategies, and practical applications to shape the future of AI-driven communication. Enroll for free and get a certificate of completion. Click on the link below https://www.mygreatlearning.com/academy/learn-for-free/courses/prompt-engineering-for-chatgpt?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=GenAIFllcrsGenAITut_2024

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🏁 Topics Covered:
00:00:00 Introduction
00:01:39 Introduction to Generative AI
00:10:51 Advantages of Generative AI
00:12:12 The Future of Generative AI
00:13:22 Ethical Considerations in Generative AI
00:15:09 Introduction and Phases to LLMs
00:27:57 Introduction to OpenAPI GPT API
00:36:22 Claude 3.5 Sonnet
00:52:58 Claude Artifacts
00:53:52 Demo on Claude Artifacts
01:00:12 Use cases of Claude
01:02:25 Demo on Claude Sonnet
01:18:18 GPT 4o Mini and uses
01:20:26 Why GPT 4o Mini
01:21:39 Features of GPT 4o Mini
01:22:45 Difference between GPT 4o and GPT 4o Mini
01:24:26 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
01:29:06 Prompting on Playground and Billing Settings
01:31:22 Version of Google Gemini
01:38:10 General Prompt Demo Google AI Studio
01:40:33 Structured Prompt in Google AI Studio
01:46:01 Model Tuning in Google AI Studio using System Sample
01:48:28 Other data import options in Google AI Studio using System Sample
01:51:30 Abstract of the Email Generator App
01:51:55 Software Requirements for App
01:54:15 Implementation of the App
02:03:43 Executing the App
02:06:28 Generative AI Popular Tools
02:06:57 ChatGPT
02:07:13 Github Copilot
02:07:26 Claude
02:07:41 Gemini
02:08:27 Basics of Prompt Engineering
02:30:02 Basics of ChatGPT
02:31:06 Demonstration of Prompt on ChatGPT
02:34:37 Python App using ChatGPT 4o
02:41:59 Using ChatGPT 4o for Statistical Analysis
02:49:08 Demonstration of Prompt using ChatGPT 4-o
02:51:12 Portfolio website code execution
02:25:27 Introduction to Github and Github Copilot
03:08:47 Hands-on session on Github Copilot
03:41:34 Introduction of Claude
03:53:24 Prompt Engineering and Install Claude
04:05:03 Hands-on Claude
04:19:13 Program for tic-toe game using Claude
04:21:10 Claude 2 API
04:28:37 Integration of Python and Gemini 1.5 pro
04:35:20 Chatbot using Gemini 1.5 pro
04:53:12 Generative AI Applications
05:06:33 Flask ChatGPT App
05:25:30 Flask Text-to-Image App
05:27:36 Demo - Flask Text-to-Image App
05:36:24 Introduction to Langchain
05:40:18 Why LangChain?
05:45:30 Development Environment Setup of LangChain
05:47:04 Demo on Library Installation
05:49:29 LangChain Core Concepts
05:54:22 LangChain Components
06:00:23 LangChain Case Study
06:09:12 Limitations of LLMs
06:11:04 Introduction to RAG
06:18:08 RAG Basics Concepts and Terminology
06:29:41 Key Components of RAG - Retrieval and Generation
06:38:11 Workflow and Applications of RAG
07:04:17 Hallucinations in RAG
07:12:25 Steps to implement RAG with LangChain
07:25:40 Hands-on RAG in detail

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⚡ About Great Learning:
With more than 11 Million+ learners in 170+ countries, Great Learning is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data, and business domains. These programs are developed in collaboration with top institutions like Stanford Executive Education, MIT Professional Education, Wharton, University of Arizona, Northwestern University, The University of Texas at Austin, NUS, Microsoft & more.

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Einstein was wrong about black holes, what else? Use code veritasium at the link below to get an exclusive 60% off an annual Incogni plan: https://incogni.com/veritasium

A massive thank you to Prof. Geraint F. Lewis and Prof. Juan Maldacena for their expertise and help with this video.

A huge thank you to those who helped us understand this complicated topic: Dr. Suddhasattwa Brahma, Prof. Carlo Rovelli, Dr. Hal Haggard, Prof. Martin Bojowald, Dr. Francesca Vidotto, Prof. Andrew Hamilton, and Dr. Carl-Fredrik Nyberg Brodda.

A special thanks to Alessandro Roussel from ScienceClic for his spectacular simulations and feedback on the video. Check out his channel here: https://ve42.co/ScienceClic

An excellent book on this topic and an inspiration for this video: Cox, B., & Forshaw, J. (2023). Black holes: the key to understanding the universe.

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If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

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References:
Thorne, K. (1995). Black Holes & Time Warps: Einstein's Outrageous Legacy.
Relativity Playlist by ScienceClic - https://ve42.co/SCPlaylist
Hamilton, A. J. S. (2021). General Relativity, Black Holes, and Cosmology - https://ve42.co/Hamilton2021
Black Hole Events by PBS Space Time - https://youtu.be/vNaEBbFbvcY?l....ist=PLsPUh22kYmNBl4h
Newton’s Letters via The Newton Project - https://ve42.co/NewtonMail
Einstein, A. (1915). Die feldgleichungen der gravitation. - https://ve42.co/Einstein1915
Why Time and Space Swap by ScienceClic - https://youtu.be/GQZ3R81iyE0
Schwarzschild, K. (1916). Über das Gravitationsfeld eines Massenpunktes nach der Einsteinschen Theorie. - https://ve42.co/Schwarzschild1916
Wali, K. C. (1982). Chandrasekhar vs. Eddington—an unanticipated confrontation. - https://ve42.co/Wali1982
How to Build a Black Hole by PBS Space Time - https://www.youtube.com/watch?v=xx4562gesw0
Oppenheimer, J. R., & Volkoff, G. M. (1939). On massive neutron cores. - https://ve42.co/TOVLimit
Oppenheimer, J. R., & Snyder, H. (1939). On continued gravitational contraction. - https://ve42.co/Oppenheimer1939
Schwarzschild Geometry by Andrew Hamilton - https://ve42.co/SchwarzGeom
Why all world maps are wrong by Vox - https://www.youtube.com/watch?v=kIID5FDi2JQ
Hamilton, A. J., & Lisle, J. P. (2008). The river model of black holes. - https://ve42.co/HamiltonLisle2008
Mapping The Multiverse by PBS Space Time - https://www.youtube.com/watch?v=4v9A9hQUcBQ
Rotating black hole via Wikipedia - https://ve42.co/WikiRBH
Wormhole Travel by PBS Space Time - https://www.youtube.com/watch?v=ldVDM-v5uz0
Morris, M. S., & Thorne, K. S. (1988). Wormholes in spacetime and their use for interstellar travel. - https://ve42.co/MorrisThorne1988

Images & Video:
D3 Geo Projection Library by Mike Bostock https://ve42.co/d3geo
Interrupted Maps by Jason Davies https://ve42.co/DaviesMaps
Kazmierczak, J. et al. (2021). NASA’s NICER Tests Matter’s Limits. - https://ve42.co/NasaNICER
Bridgman, T. et al. (2024). M5.1 flare 'Double Whammy', at Active Regions 13559 and 13561. NASA SVS. - https://ve42.co/NasaFlare
Schnittman, J. et al. (2019). Black Hole Accretion Disk Visualization. - https://ve42.co/NasaAccrDisk
Wiessinger, S. et al. (2020). A Decade of Sun. NASA SVS. - https://ve42.co/NasaSunDecade
Skelly, C. et al. (2017). What is a Neutron Star? NASA SVS. - https://ve42.co/NasaNeutron
What would we see if we fell into a black hole by ScienceClic - https://youtu.be/4rTv9wvvat8
Earth texture - https://ve42.co/NASAEarth
First image of Sgr A* - https://ve42.co/EHT1
Image of M87 - https://ve42.co/EHT2
Polarized light image of Sgr A* - https://ve42.co/EHT3

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Directed by Casper Mebius
Written by Casper Mebius, Derek Muller and Will Wood
Edited by Trenton Oliver
Animated by Fabio Albertelli, Ivy Tello, Mike Radjabov, David Szakaly, Jonny Hyman, and Alessandro Roussel
Illustrated by Jakub Misiek
Filmed by Derek Muller
Additional research by Gregor Čavlović
Produced by Casper Mebius, Derek Muller, Will Wood, Giovanna Utichi, Rob Beasley Spence, Gregor Čavlović, and Emily Taylor

Thumbnail contributions by Jakub Misiek, Ren Hurley and Peter Sheppard
Additional video/photos supplied by Getty Images, Storyblocks, and NASA SVS
Music from Epidemic Sound

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