You're watching "Best Songs of March" compilation, an interactive series prepared to you by Pinkfong & Hogi!

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⭐️Watch New Series 'Hogi's Jingle Play' 💗 : https://youtu.be/6jLnmUSo2M8

——
Playlist :

00:00:00 Learn Colors with Colorful Pop It
00:03:11 Hogi's Jingle Play
00:06:27 Learn Colors with Hogi's Friends
00:08:42 Learn Colors with Dinosaur Race
00:11:28 Learn Colors with Dinosaurs
00:14:34 Learn Colors with Colorful Donuts
00:17:39 Learn Colors with Candy
00:20:39 Learn Colors with Colorful Mosquitoes
00:23:34 I Got a Boo Boo1
00:26:34 Outdoor Boo Boo

——

✨Watch Best Colors and Songs for Kids from “Learn and Play with Hogi!” Playlist :
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✨Watch Learn Colors🌈 with Hogi! : https://www.youtube.com/watch?v=iDl5SwzYUeY&list=PLKFsVns-WS5uWnJzWkXMNVlNmtaAxOyRJ&index=1
✨Watch Sing Along with Hogi 🎶 : https://www.youtube.com/watch?v=kK00Qj-2X38&list=PLKFsVns-WS5thf0nFi3ocbWBTHlLtU7r9&index=1

——

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Best Old Love Songs Playlist ❤️ All Time Favorite Hits Songs ❤️MLTR, Air Supply, Westlife, ...#vl4
Link: https://youtu.be/3IP7g2zRfl0

Benson Boone - Beautiful Things (Official Music Video)

Listen to 'Fireworks & Rollerblades' the debut album from Benson Boone now at: https://BensonBoone.lnk.to/FireworksRollerblades
Listen to the song now at: https://BensonBoone.lnk.to/BeautifulThings

🔔 Subscribe to Benson's Channel: https://bit.ly/3RV5Na8

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http://www.BensonBoone.com
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Credits:
Music Video Directed by: Matt Eastin
Written by Benson Boone, Jackson Lafrantz Larsen, and Evan Blair
Produced by Evan Blair
Engineered by Evan Blair
Mixed by Alex Ghenea
Mastered by Randy Merrill

Lyrics:
For a while there it was rough
But lately I’ve been doing better
Than the last four cold Decembers
I recall
And I see my family every month
I found a girl my parents love
She’ll come and stay the night
I think I might have it all
And I thank god everyday
For the girl he sent my way
But I know the things he gives me
He can take away
And I hold you every night
That’s a feeling I wanna get used to
But there’s no man as terrified
As the man who stands to lose you
Oh I hope I don’t lose you
Mmm
Please
Stay
I want you I need you oh God
Don’t
Take
These beautiful things that I’ve got
Please stay
I want you I need you oh God
Don’t take
These beautiful things that I’ve got
Please don’t take,
I found my mind I’m feeling sane
It’s been a while but I’m finding my faith
If everything’s good and it’s great why do I sit and wait till it’s gone
Oh I’ll tell ya I know I’ve got enough
I got peace,
And I got love,
But I’m up at night thinking I just might lose it all
Please stay
I want you I need you oh God
Don’t take
These beautiful things that I’ve got
Please stay
I want you I need you oh god
I need
These beautiful things that I’ve got

#BensonBoone #BeautifulThings #NewMusic #Pop

AI Agents Explained: A Comprehensive Guide for Beginners by Alfie Marsh Co-Founder & CEO of https://www.getstation.ai/

(0:00) Introduction to AI Agents
(0:23) What is an AI Agent?
(0:49) How AI Agents Differ from Traditional Software
(1:36) AI Agents vs Large Language Models (LLMs)
(2:50) How AI Agents Work
(3:16) Component 1: Planning
(3:47) Component 2: Interacting with Tools
(4:10) Component 3: Memory and External Knowledge
(5:07) Component 4: Executing Actions
(5:39) Risks and Future of AI Agents
(6:30) Conclusion

In this video, Alfie Marsh, Co-Founder & CEO of Station AI, unpacks the world of AI agents and explains how they are evolving to become an integral part of our lives. Discover what AI agents are, how they differ from traditional automations and other large language models (LLMs) like GPT, Claude, and Gemini, and explore real-world examples of AI agents in action.

Learn about the key components that make up AI agents, including their ability to plan, interact with tools, store memory, access external knowledge, and execute actions autonomously. Alfie also discusses the potential risks and the future of AI agents as they become more sophisticated with advancements in language models like GPT-4 and beyond.

Whether you're interested in building AI agents, understanding how they work, or exploring no-code solutions and tutorials, this video provides a comprehensive overview of AI agents and their growing importance in our lives and careers.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎 ) : https://www.edureka.co/devops-....certification-traini
This Jenkins Full course will explain what is Jenkins, the problems it solved, continuous integration, its features, and architecture. You'll also see a case study that uses Jenkins. Jenkins is a continuous integration tool that enables the testing, deployment, and creation of new codes continuously. Let's get going now and learn how Jenkins is used in DevOps.
00:00:00 Introduction
00:01:12 Agenda
00:02:23 Jenkins Fundamentals
00:05:48 What is Continuous Integration
00:08:02 Case Study
00:09:37 What is Jenkins
00:13:44 What is Pipeline
00:15:58 WHat is JenkinFile
00:19:47 Hands-on
01:03:54 Jenkins Master & Slave Configuration
01:03:57 Jenkins Architecture
01:07:39 Demo
01:16:37 Jenkins Pipeline
01:18:43 CD Pipeline
01:22:14 Advantages of Continuous Delivery
01:23:37 Case Study
01:31:59 Pipeline Concepts
01:35:46 Create your First Jenkins Pipeline
01:38:35 Declarative Pipeline Demo
01:45:05 Scripted Pipeline Demo
01:48:57 Jenkins Git Integration
01:52:24 Why Git & Jenkins Together?
01:54:21 Demo
02:03:43 Docker Jenkins Pipeline
02:06:02 What are Microservices?
02:21:35 Prerequisites for Integration
02:28:26 Selenium Jenkins Integration
02:39:20 Hands-on
03:13:18 Jenkins Groovey
03:22:33 Declarative Vs Scripted
03:27:49 Webhooks in Jenkins
03:38:11 How to Integrate email notification?
03:45:47 SOnarQube Jenkins
03:47:10 Demo
03:53:46 How to use JMeter in Jenkins - Intro
03:55:53 How to use JMeter in Jenkins
04:15:33 WHat is Jenkins X
04:31:23 Jenkins Vs Bamboo
04:40:41 Which CI/CD ToolYou should choose?
04:42:26 Jenkins Interview Question & Answers
04:42:33 Jenkins Beginner Level Interview Q & A
04:51:32 Jenkins Intermediate Level Interview Q & A
05:04:13 Jenkin Advanced Level Interview Q & A

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/business-in (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this video on Business Analyst Full Course, you will look at topics like the need for having a business analyst, business analyst responsibilities and skills, business analysis knowledge areas, a demo on business analysis with excel, and business analyst vs data analyst. So, let's get started with this business analyst training for beginners! Topics Covered:
00:00:00 Introduction
00:01:16 Agenda
00:02:11 How to become a Business Analyst?
00:14:03 What Does a Business Analyst Do?
00:20:49 Predictive Analysis Using Python
00:46:49 Data Analytics Using Excel
01:03:36 Charts In Excel
01:21:46 Pivot Tables
01:42:35 Agile Methodology
01:47:30 What is Agile
01:51:29 Key Terms of Agile
01:55:39 How to Implement Agile
02:16:20 Scrum Methodology
02:47:24 How to Become BI Analyst
03:01:02 Roles & Responsibilities of BI Analyst
03:02:34 BI Analyst Interview Question & Answers
03:12:30 Intermediate Interview Questions
03:17:54 Advanced Level Interview Questions


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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Learn Mojo in this full tutorial. The Mojo programming language combines the usability of Python with the performance of C. It's basically an enhanced version of Python specifically designed for Artificial Intelligence developers.

💻 Code: https://github.com/Infatoshi/intro-to-mojo

✏️ Course created by @elliotarledge
Elliot's discord: https://discord.gg/pV7ByF9VNm

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:04:16) What is Mojo
⌨️ (0:07:57) Modular Community
⌨️ (0:12:06) Setting Up
⌨️ (0:17:04) Hello World
⌨️ (0:19:20) Local Jupyter Notebook
⌨️ (0:22:21) Variables, Declarations, and Datatypes
⌨️ (0:33:27) Getting User Input
⌨️ (0:36:28) IF/ELSE Statements
⌨️ (0:40:28) Loops & Functions
⌨️ (0:47:41) Python VS Mojo functions
⌨️ (0:52:26) OOP
⌨️ (1:05:21) Importing Libraries
⌨️ (1:08:48) Raises, Error handling, Exceptions
⌨️ (1:14:49) Inout, Borrowed, Owned, and With Statements
⌨️ (1:21:49) Variable Scope
⌨️ (1:24:46) Mojo CLI
⌨️ (1:35:54) SIMD (single instruction, multiple data)
⌨️ (1:43:47) Decorators & Metaprogramming
⌨️ (1:46:01) Speed test (Mojo VS Python)
⌨️ (1:58:48) How to Ask Questions & Post Errors
⌨️ (2:08:13) Final Comments
⌨️ (2:11:49) Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Learn how to build your own large language model, from scratch. This course goes into the data handling, math, and transformers behind large language models. You will use Python.

✏️ Course developed by @elliotarledge

💻 Code and course resources: https://github.com/Infatoshi/fcc-intro-to-llms

Join Elliot's Discord server: https://discord.gg/pV7ByF9VNm

⭐️ Contents ⭐️
(0:00:00) Intro
(0:03:25) Install Libraries
(0:06:24) Pylzma build tools
(0:08:58) Jupyter Notebook
(0:12:11) Download wizard of oz
(0:14:51) Experimenting with text file
(0:17:58) Character-level tokenizer
(0:19:44) Types of tokenizers
(0:20:58) Tensors instead of Arrays
(0:22:37) Linear Algebra heads up
(0:23:29) Train and validation splits
(0:25:30) Premise of Bigram Model
(0:26:41) Inputs and Targets
(0:29:29) Inputs and Targets Implementation
(0:30:10) Batch size hyperparameter
(0:32:13) Switching from CPU to CUDA
(0:33:28) PyTorch Overview
(0:42:49) CPU vs GPU performance in PyTorch
(0:47:49) More PyTorch Functions
(1:06:03) Embedding Vectors
(1:11:33) Embedding Implementation
(1:13:06) Dot Product and Matrix Multiplication
(1:25:42) Matmul Implementation
(1:26:56) Int vs Float
(1:29:52) Recap and get_batch
(1:35:07) nnModule subclass
(1:37:05) Gradient Descent
(1:50:53) Logits and Reshaping
(1:59:28) Generate function and giving the model some context
(2:03:58) Logits Dimensionality
(2:05:17) Training loop + Optimizer + Zerograd explanation
(2:13:56) Optimizers Overview
(2:17:04) Applications of Optimizers
(2:18:11) Loss reporting + Train VS Eval mode
(2:32:54) Normalization Overview
(2:35:45) ReLU, Sigmoid, Tanh Activations
(2:45:15) Transformer and Self-Attention
(2:46:55) Transformer Architecture
(3:17:54) Building a GPT, not Transformer model
(3:19:46) Self-Attention Deep Dive
(3:25:05) GPT architecture
(3:27:07) Switching to Macbook
(3:31:42) Implementing Positional Encoding
(3:36:57) GPTLanguageModel initalization
(3:40:52) GPTLanguageModel forward pass
(3:46:56) Standard Deviation for model parameters
(4:00:50) Transformer Blocks
(4:04:54) FeedForward network
(4:07:53) Multi-head Attention
(4:12:49) Dot product attention
(4:19:43) Why we scale by 1/sqrt(dk)
(4:26:45) Sequential VS ModuleList Processing
(4:30:47) Overview Hyperparameters
(4:32:14) Fixing errors, refining
(4:34:01) Begin training
(4:35:46) OpenWebText download and Survey of LLMs paper
(4:37:56) How the dataloader/batch getter will have to change
(4:41:20) Extract corpus with winrar
(4:43:44) Python data extractor
(4:49:23) Adjusting for train and val splits
(4:57:55) Adding dataloader
(4:59:04) Training on OpenWebText
(5:02:22) Training works well, model loading/saving
(5:04:18) Pickling
(5:05:32) Fixing errors + GPU Memory in task manager
(5:14:05) Command line argument parsing
(5:18:11) Porting code to script
(5:22:04) Prompt: Completion feature + more errors
(5:24:23) nnModule inheritance + generation cropping
(5:27:54) Pretraining vs Finetuning
(5:33:07) R&D pointers
(5:44:38) Outro

🎉 Thanks to our Champion and Sponsor supporters:
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-course
This Edureka DevOps and Cloud Computing Full Course will help you learn DevOps concepts and DevOps tools with examples and demos starting from basics to advanced. You will understand how DevOps work and how it is implemented in the modern software development lifecycle. Furthermore, we'll cover the fundamentals of cloud computing, the cloud computing lifecycle, and important concepts of AWS, Azure, Google Cloud Platform services for DevOps.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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This video on complete excel course - beginner to expert by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals. This Microsoft Excel Tutorial For Beginners will cover basic topics of excel like data validation, conditional formatting, spreadsheet fundamentals to advanced excel topics like time series analysis, filters, slicers, excel dashboarding, data visualization, and much more.

00:00:00 Introduction to Microsoft Excel Full Course
Excel Basic Knowledge
How To Change Lower Case To Upper Case In Excel?
How To Add Rows In Excel?
How To Add Columns In Excel?
How To Select Entire Column In Excel?
How to Compare Two Columns In Excel?
How To Convert Rows To Columns In Excel?
How to Group Rows in Excel?
How To Remove Blank Rows In Excel?
How To Freeze Row In Excel Tutorial
How to Convert Numbers to Words in Excel?
Combining Data From Multiple Cells In Excel
How To Merge Cells In Excel
How to Add Date in Excel?
How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
How To Calculate Age In Excel From A Date Of Birth?
How To Calculate Time Difference in Excel?
Checkboxes In Excel
How to Insert Excel in PPT?
How To Insert Image In Excel?
How To Insert PDF in Excel Sheet?
How To Convert PDF To Excel
How to Insert Tick Mark in Excel?
How to add Watermark in Excel?
How to Increase Cell Size in Excel?
How to create Barcode In Excel
Excel Flash Fill
How to Add Hyperlink In Excel
Index Match In Excel
How to Sort by Date in Excel?
How to Use AutoSum In Excel
How To Sort Data In Excel?
Slicer and Filter in Excel
How to Add Filters in Excel
How to Create Drop-Down List In Excel?
Data Validation In Excel
How To Lock(Protect) Cells In Excel
How To Calculate Average In Excel?
Excel Print Page Setup
Page Break In Excel For Beginners
Conditional Formatting In Excel
How to Count Colored Cells in Excel?
DateDif In Excel Explained
Remove Duplicates In Excel
SUMIFS Formula in Excel
How To Create Pivot Tables In Excel
Autofill In Excel Explained
How to Calculate Percentage In Excel
How To Highlight Duplicates In Excel?
Charts In Excel
Progress Tracker In Excel
Excel Gantt Chart Tutorial
Pivot Tables In Excel
Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
How To Use Mail Merge Using Excel
Excel Lookup Tutorial
How to implement Vstack Function In Excel
Indirect Function Excel
How To Recover Unsaved Excel File
Project Planning in excel
How to Create MIS Report in excel
Time Series Analysis in Excel
Excel Dashboard Design
Excel Budget Template
Excel Interview Questions And Answers

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#ExcelCourse #CompleteExcelCourse #AdvancedExcelTutorial #ExcelTraining #MSExcel #ExcelForBeginners #ExcelFullCourse #LearnExcel #2023 #Simplilearn

➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

✅ Key features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
- Access to integrated Data Analytics Labs

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- Data Analysis in AWS

✅ Enroll Course Now: https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=22August2023LGLoopEvening1-q_EvK1Ycbek&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
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Learn about 10 security vulnerabilities every JavaScript developer should know. First try to find the vulnerabilities in the different code examples. Then learn how to fix the issues.

✏️ Brandon from Semgrep developed this course.

🔗 Learn more about Semgrep: https://go.semgrep.dev/scan-in-1-minute-for-free
🏗 Semgrep provided a grant to make this course possible.



🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Descriptionff&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Descriptionff&utm_source=youtube
🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Descriptionff&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Descriptionff&utm_source=youtube
Data Analytics Full Course 2023 by simplilearn is a detailed and organised full covers the major data analytics fundamentals. The course will guide the aspiring data analysts with the skills required to become a data analyst, the roles and responsibilites of a data analyst, slary of a data analyst, companies hiring data analysts and much more.

00:00:00 Introduction to Data Analytics Course
00:02:11 Data Analyst job, skills, Roles, career, salary
00:02:25 Growth of Data
00:05:09 Job roles in Data Analytics
00:22:40 Resume of a Data Analyst
00:27:17 How to Become a Data Analyst
00:30:50 Roles and Responisibilities of a data analsyt
00:33:10 Skills for a data analsyt
00:34:45 Salary of a data analsyt
00:35:25 Companies Hiring Data Analyst
00:37:45 Technical Tools for Data Analyst
01:07:20 Business Analsyt VS Data Analsyt
01:25:29 Applications of Data Analytics
01:35:10 Data Analytics with Python
01:37:41 NumPy for Data Analytics
01:38:41 Pandas for Data Analytics
01:39:41 MatPlotLib For Data Visualization
01:40:31 Demo on Data Analytics
01:41:41 Anaconda Installation
01:42:51 Jupyter Notebook for Data Analytics
02:49:30 Time Series forecasting
03:50:50 Spotify Data Analytics using python
04:41:17 World Happiness Report
05:36:40 Data Analysis with R and Python
05:53:10 Data Analysis Life-Cycle
06:01:10 Types of Data Analysis
06:06:40 Data analysis with R
07:49:30 Big Data Analytics
07:52:40 Importance of Big Data Analytics
07:53:40 Types of Big data analytics
07:54:40 Life Cycle of big Data Analytics
07:58:20 Tools of big data analytics
08:00:50 Advantages of big analytics
08:02:53 Use cases of Big Data analytics
08:05:33 Data Visualisation
08:31:33 Types of Plots
08:31:43 SeaBorn
08:32:24 Power Bi
08:43:34 What is Power Bi
08:45:44 Feature of Power Bi
08:51:14 Data Visualization with Power Bi
09:12:34 Data modelling
09:17:24 Cardianality
10:02:04 Tableau for data analytics
10:38:04 Data Analyst Interview Questions

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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.

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- Resume preparation and LinkedIn profile building
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- Career accelerator webinars

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- Data Analytics
- Statistical Analysis using Excel
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- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
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- Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688


👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=DataAnalyticsFullCourse6April2023&utm_medium=Description&utm_source=youtube

Learn how to get your website online with a custom URL and website hosting.

The template website referenced in this video is down. Get the template here: https://drive.google.com/file/....d/1Zr80JIe30eJEUIx_8

In this course, you will first learn how to create a simple website using HTML, CSS, and JavaScript, starting with a website template. (If you already have a website—great! Just skip this section and go to the next one.) Then, you will learn how to get a custom URL. Finally, you will learn how to host your website files and make your custom URL point to your website files. You will learn two different ways to host your website, including a way to host your website for free!

This course was created by Beau Carnes.

🔗 Get a .TECH domain name: https://get.tech

🔗 Learn more about HTML and CSS: https://www.youtube.com/playli....st?list=PLWKjhJtqVAb

⭐️ Course Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (00:34) Creating a website
⌨️ (38:41) Getting a custom URL
⌨️ (42:45) Getting web hosting
⌨️ (48:25) Creating a custom email address
⌨️ (48:25) Updating Nameservers
⌨️ (51:35) Hosting for free with GitHub Pages
⌨️ (56:08) Updating DNS Settings
⌨️ (59:15) Conclusion

⭐️ Special thanks to our Champion supporters! ⭐️
🏆 Loc Do
🏆 Joseph C
🏆 DeezMaster

This course was made possible in part by a grant from Radix, who own the .tech TLD.

Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well.

The goal in this course is to build a web app that learns to recognize drawings. This is phase 2, where we increase the accuracy of the method we developed in Phase 1. We do this by implementing more sophisticated features and using other classification methods (like the Neural Network). In Phase 2 we also learn about Data Cleaning, Confusion Matrices, Geometry and the difference between Vector and Raster data (pixels).

🎥 No Black Box Phase 1 Course: https://youtu.be/vDDjtwQDw2k

✏️ Course created by @Radu (PhD in Computer Science)

📁 Data: https://github.com/gniziemazity/drawing-data
💻 Code: https://github.com/gniziemazity/ml-course-phase-2
💻 Ilya's code: https://gist.github.com/id-ily....ch/8630fb273e5c5a0b6
💻 Neural Network Code: https://github.com/gniziemazity/neural-network
Phase 3 Poll: https://forms.office.com/e/QTMCLLaV24

⭐️ Other Resources ⭐️
Recognizer we build in this course: https://radufromfinland.com/projects/ml/recognizer
Euclidean Distance Video: https://youtu.be/3rPwfmrCwVw
Interpolation Video: https://youtu.be/J_puRs40GhM
Draw the Portal Game Tutorial (Inspired from Dr. Strange): https://youtu.be/0SxiyLk2IMM
Why the Circle has the Largest Area: https://youtu.be/CFBa2ezTQJQ
Recognizing drawings via webcam: https://youtu.be/QXB1ytG95gs
Self-driving Car Course: https://youtu.be/Rs_rAxEsAvI
Discord Server: https://discord.com/invite/gJFcF5XVn9
Scikit-learn documentation: http://scikit-learn.org/stable..../modules/generated/s

⭐️ Contents ⭐️
0:00:00 Introduction
0:04:07 Phase 1 Code Review
0:23:11 Data Cleaning
0:41:30 Confusion Matrix
1:16:00 Euclidean Distance Marker
1:16:06 Measuring the Elongation
1:39:23 Measuring the Roundness
1:59:20 Vector vs Raster (Pixels)
2:22:40 Neural Networks
3:04:49 Optimizing Neural Networks
3:25:15 Deep Neural Networks

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

React: Use a Ternary Expression for Conditional Rendering


#100DaysOfCode

🔥 Microservices Architecture Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microse....rvices-architecture-
This Edureka's Microservices video on What are Microservices gives you an introduction to microservices and also shows the practical implementation of microservices with a demo.
In this video, you will learn the following:

1.Why Microservices
2.What Is Microservice Architecture
3.Features Of Microservice Architecture
4.Advantages Of Microservice Architecture
5.Companies Using Microservices
6.Hands-On Using SpringBoot

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How it Works?

1. This is a 4 Week Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
---------------------------------------------------------------------------------
About Microservices Architecture Training

Edureka’s Microservices Architecture training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally. If you want to build an enterprise-ready implementation of the Microservices architecture, then this course is the first step for you!

In this Microservices Architecture training, we will start by giving you a deep understanding of the core Microservices concepts and principle with insight in how they have evolved. We will walk you through the complete life cycle - from design to development to testing; including cross-layer concepts such as how to secure Microservices.
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What are the Objectives of our Microservices Architecture Training?

After completing, Edureka's Microservice training, you will be able to:

1.Understand and differentiate between various Microservices Architectural styles
2.Apply Microservices Architecture principles
3.Know how to make the appropriate Microservice Architecture decision
4.Develop and test a Microservice
5.Know what technologies can be used to enable Microservices with an example
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Why should you go for Microservices Architecture Training?

Microservices Architecture, or simply Microservices, is a unique method of developing software systems as a suite of independently deployable, small, modular services in which each service runs a unique process and communicates through a well-defined, lightweight mechanism to serve a business goal. Thanks to its scalability, this architectural method is considered ideal when you have to enable support for a range of platforms and devices spanning across the web, mobile, Internet of Things, and so on. Because of its flexibility, you can also use this method when you’re not sure what kind of devices you’ll need to support in an increasingly Cloud-based future.

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What are the Pre-Requisites for Microservices Architecture Training ?

There are no prerequisites for attending this Microservice course. Understanding of programming languages such as Java, basic understanding and familiarity with Spring Boot framework and building Java applications would be useful to execute Case Study and Project.
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Who should go for this Microservices Architecture Training?

1.Application Architects
2.Software Architects
3.Application Developers
4.Developer working on Web, Cloud, Mobile, and other social technologies

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