Learn how to build and deploy a SaaS using NextJS 13.4, DrizzleORM, OpenAI, Stripe, TypeScript, Tailwind, and Vercel. You will gain expertise in the following areas:
- Leveraging NextJS 13's cutting-edge App Router.
- Managing Payments seamlessly through Stripe.
- Harnessing the beauty of Shadcn and the power of Tailwind CSS.
- Unleashing the capabilities of OpenAI's API for Language Model usage.
- Interacting with databases with the efficiency of ORMs.

Resources
🔗 GitHub Repo: https://github.com/elliott-chong/chatpdf-yt
🔗 Vercel AI SDK: https://vercel.com/blog/introd....ucing-the-vercel-ai-
🔗 Timestamp 3:20:00 /api/chat/route.ts file https://pastebin.com/crLipeHK

Course developed by @elliottchong

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro & Demo
⌨️ (0:09:53) Set Up NextJS
⌨️ (0:11:59) Set Up Shadcn
⌨️ (0:15:45) Set Up ClerkAuth
⌨️ (0:21:52) Home Page
⌨️ (0:33:22) DrizzleORM
⌨️ (0:50:15) File Upload Component
⌨️ (0:57:11) Set Up AWS S3
⌨️ (1:18:12) AI RAG Explanation
⌨️ (1:30:39) React Query Set Up
⌨️ (1:45:11) Set Up Pinecone DB
⌨️ (2:32:27) Chat Side Bar
⌨️ (2:47:42) PDF Viewer
⌨️ (2:50:33) Chat Component ( Vercel AI SDK )
⌨️ (3:08:02) Pinecone OpenAI Get Context
⌨️ (3:26:19) Persist Chat Logs to DB
⌨️ (3:34:16) Stripe Integration
⌨️ (4:14:59) Deploy and Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Nattira Maneerat
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👾 Serhiy Kalinets
👾 Justin Hual
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👾 Oscar Rahnama

--

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This Deep Learning tutorial will help you in understanding what is Deep learning, why do we need Deep learning, applications of Deep Learning along with a detailed explanation on Neural Networks and how these Neural Networks work. Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input.


Below topics are explained in this Deep Learning Tutorial:
Start (0:00)
1. What is Deep Learning? ( 02:25 )
2. Why do we need Deep Learning? ( 03:42 )
3. Applications of Deep Learning ( 04:55 )
4. What is Neural Network? ( 11:32 )
5. Activation Functions ( 15:50 )
6. Working of Neural Network ( 26:14 )

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"🔥 Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course

In this video on ""What is LLM"" we'll dive into large language models (LLMs), powerful AI systems trained on massive text datasets to understand and generate human-like language. We'll introduce the concept of LLMs, explain how they leverage deep learning and self-attention mechanisms, and Discover examples of large language models like Google's LLaVA, OpenAI's GPT-3, and Microsoft's Turing-NLG, which power LLM's capabilities. We'll explore their impressive capabilities in tasks like text generation, summarization, question answering, and translation, as well as their real-world applications across industries.

In this informative video on What is LLM, we will cover the following Topics:

✅ 00:00 - Introduction to Large Language Model
✅ 01:03 - What is LLMs?
✅ 01:48 - Examples of LLMs
✅ 02:01 - Applications of LLMs
✅ 02:36 - How does LLM works?
✅ 03:57 - Understand Working of LLM With an Example

"
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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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- - - - - - - - - - - - - -

About Large Language Models (LLMs) Course with Generative AI

Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -

Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.

- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
00:00:00 Introduction
00:04:16 What is Generative AI?
00:17:44 Generative AI Examples
00:36:23 Generative AI Tools
00:54:10 What Is Artificial Intelligence?
01:00:14 Types Of Artificial Intelligence
01:10:29 What is Deep Learning
01:21:42 TensorFlow Explained
01:46:28 Convolutional Neural Network
02:07:04 Artificial Neural Network
02:38:55Recurrent Neural Networks
03:07:38 Keras
03:32:58 Generative AI Course - Part 1 - What is LLM?
03:52:42 What Are GANs?
04:05:03 Transformers In Gen AI
04:12:42 Prompt Engineering Explained
04:26:27 Prompt Engineering for Code Generation
04:35:46 How to Become a Prompt Engineer
04:40:50 Building a Chatbot with Prompt Engineering
04:57:00 GitHub Copilot
05:14:25 Generative AI Course - Part 2 - What is LangChain?
05:31:40 Generative AI Course - Part 3 - What is RAG?
05:54:33 Generate Images Using DC-GAN
06:19:07 Midjourney
06:37:28 OpenAI API using Python
06:45:43 Generative AI in Marketing
06:56:13 What is Agentic AI?
07:06:13 The Future of Generative AI and Job Opportunities
07:11:57 Nvidia's Latest Breakthrough in Generative AI
07:18:34 DeepSeek vs OpenAI: Who Wins the AI Race?
07:31:07 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
07:35:30 DeepSeek Training Cost
07:40:59 Exploring the 07:48:29 Ethics of Generative AI
Dangers of AI
08:11:15 Artificial Intelligence Project Ideas
08:24:52 Top 10 Benefits Of Artificial Intelligence
08:36:40 GenAI Roadmap
08:45:25 Top 5 Generative AI Career Opportunities
09:01:38 Generative AI Interview Questions

Explore *Generative AI* with this Beginner to Advanced Full Course! Learn key concepts like LLMs, GANs, Transformers, Prompt Engineering, and AI Ethics with hands-on projects. Whether you're a beginner or an AI enthusiast, this course will guide you step-by-step to mastering Generative AI. Watch now and start building with AI today

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- - - - - - - - - - - - - -

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)"

🌟 Join me to Master Python for AI Projects 👉 https://python-course-earlybird.framer.website/?&utm_source=aiagentpy
📝 Get my AI agents note 👉 https://thu-vu.kit.com/847779a4f4
🔗 Github repo for this project 👉 https://github.com/thu-vu92/social-media-agent

-----------
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0:00 - Intro
0:58 - Are AI agents just hype?
1:57 - Popular agentic applications
2:54 - AI agent project ideas
4:48 - Ways to build an AI agent
7:26 - Coding agents Junie (sponsor)
8:31 - Crash course on AI agents
15:31 - Building your first AI agent - Project walkthrough
51:50 - Conclusions

#ai #python #agent

In this video I walk through a general text generator based on a character level RNN coded with an LSTM in Pytorch in the application of generating new baby names.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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🔥Edureka PGP in AI & ML: https://www.edureka.co/post-gr....aduate/machine-learn
This Edureka video on What is Text Classification in Machine Learning gives you a brief overview of text classification. In this quick guide, the following topics will be covered:

1) What is Text Classification?
2) Use Case of Text Classification

Python Tutorial Playlist: https://goo.gl/WsBpKe
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#PythonEdureka #Edureka #textclassification #pythontextclassification #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry-grade projects.
----------------------------------------------

Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

-----------------------------------------------

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

-----------------------------------------------

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

-----------------------------------------------

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

-----------------------------------------------

Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

--------------------------------------------

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

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In this Automate Excel using ChatGPT using Python, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT Excel Automation will help you automate Excel, giving simple commands to ChatGPT. The ChatGPT tutorial for beginners will help you understand working with ChatGPT.

Here we start with:
00:00:00 Automate Excel using ChatGPT using Python
00:00:30 Quiz Question
00:01:02 Python Skillup Course
00:01:31 Introduction to ChatGPT
00:03:00 Login to ChatGPT
00:08:51 Concatenating Excel files using ChatGPT
00:20:00 Using SUM and AVERAGE functions using ChatGPT in Excel
00:29:45 Adding Prefix to phone numbers in Excel Sheet
00:36:42 Replacing value name from a group of excel workbooks
00:52:20 Group Data using Columns in Excel
01:10:13 Change Excel file name using Python using ChatGPT
01:13:58 Simplilearn Course

Link to excel files: https://github.com/abhisarahuj....a/automate_excel-_si

✅The artificial intelligence research firm OpenAI created ChatGPT, a chatbot based on AI. The chatbot reacts in a human-like manner and can grasp simple language. It is based on the language model GPT-3.5. The prototype of the chatbot was unveiled on November 30, 2022.

#ChatGPT #ExcelAutomationUsingChatGPT #AutomationTutorial #ExcelAutomationTutorial #PythonExcel #ChatGPTExcel #ChatGPTAutomation #AutomationUsingChatGPT #AI #Simplilearn

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai?qId=67374d0f-63a8-491e-95e5-3c24926d8968&index_name=prod_search_result_courses&objId=2674&objPos=1
🔥 Generative AI course Masters programme : https://www.edureka.co/masters....-program/generative-
🔥 ChatGPT Training Course: Beginners to Advanced: https://www.edureka.co/openai-....chatgpt-training-cou

In this video, we dive into what NVIDIA is, exploring the company's innovative products. We’ll then cover NVIDIA’s latest news, highlighting recent announcements and advancements, followed by an exploration of core breakthroughs in technology that are driving industry-wide progress. Next, we’ll look at NVIDIA's newly released large language models, which are pushing the boundaries of AI applications, and wrap up with insights from the recent AI Summit, showcasing the latest in NVIDIA’s journey of AI leadership.

✅ 00:00 - Introduction
✅ 01:52 - What is Nvidia?
✅ 03:03- What is the news from Nvidia
✅ 04:10- What is the breakthrough all about?
✅ 04:58- Nvidia New LLM release
✅ 07:14 - What happened in AI Summit
✅ 07:53 - Nvidia worth around the world


✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌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/

- - - - - - - - - - - - - -

Why Become Generative AI Engineer?

Generative AI Engineer explores state-of-the-art technologies and make contributions to the field of artificial intelligence. It allows professionals to create models capable of producing authentic content, including images, text, and audio. This role is a combination of technical skills, continuous upskilling, and the prospect of implementing generative AI in various domains, ranging from art and design to healthcare and natural language processing.
- - - - - - - - - - - - - -

Why should I enroll in Generative AI Course?

We have created the Generative AI Certification Course after thorough research and recommendations from industry experts, along with hands-on experience of tools and systems used by industry experts. Edureka will be by your side throughout the learning journey—we're Ridiculously Committed.

Python
Data Science
Artificial Intelliegence
Natural Language Processing
Generative AI
Prompt Engineering
Large Language Models
ChatGPT, etc.

- - - - - - - - - - - - - -

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

MIT RES.14-004 Seven Questions About Tariffs That Everyone Should Know the Answer To, IAP 2026
Instructor: Arnaud Costinot
View the complete course: https://ocw.mit.edu/courses/re....s-14-004-seven-quest
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

It is hard to predict what US tariffs will look like in a few months, or even in a few weeks from now. But there are many questions about tariffs that can be answered through a combination of theory and data. This lecture discusses seven that everyone should know the answers to.

Question #1: What Is (Always) Bad About Tariffs? (05:16)
Question #2: What is (Potentially) Good About Tariffs? (13:22)
Question #3: Should a Country (Sometimes) Use Tariffs? (28:15)
Question #4: How Do We Know Whether (a Particular Set of) Tariffs Are Good or Bad? (43:08)
Question #5: What Was the Impact of the 2018–2019 Trade War? (46:59)
Question #6: Are Global Tariffs Unfair to the United States? (56:56)
Question #7: What Is (Really) Bad about Trade Wars? (1:02:27)

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐜𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/microse....rvices-architecture- . Use Code(𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Do you know the main difference between microservices and monolithic architecture?
Then this video is for you, I share when you would use each of these in practice.The guide discusses the topic of monolithic vs microservices architecture, including a list of pros and cons to each option.
Introduction:
01:07 What is monolithic?
02:06 Monolithic Architecture
03:47 What are microservices?
04:41 Microservices Architecture
06:08 Why to migrate from Monolith to Microservices
08:21 Monolith vs Microservices

📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

📌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/


Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

About the course :
Why learn Microservices?
Microservices structures an application as a collection of small autonomous services, modeled around a business domain. It uses minimal resources while reducing the cost of ownership. Also, it is easy to build and maintain applications with this architecture. With these added advantages many companies are looking to move to Microservices. Getting certified can help you aim for better job opportunities.

Can I Attend a Demo Session before Enrolment?
If you have seen any of our sample class recordings, you don't need to look further. Enrollment is a commitment between you and us where you promise to be a good learner and we promise to provide you the best ecosystem possible for learning. Our sessions are a significant part of your learning, standing on the pillars of learned and helpful instructors, dedicated Personal Learning Managers, and interactions with your peers.

Is the course material accessible to the students even after the course training is over?
Yes, access to the course material will be available for a lifetime once you have enrolled in the course.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


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Get a brief introduction to " Lean Six Sigma " in just 8 Minutes and clear your doubts on lean six sigma. Watch complete video to learn more!
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In this video, we'll tell you everything you need to learn about Lean Six Sigma in 8 minutes! We'll be covering a number of major concepts like Lean and Six Sigma, to help you answer the question: What is Six Sigma? These concepts are also explained with detailed examples.
So, without further ado, let's get started with Lean Six Sigma!

Don't forget to take the quiz at 07:08!

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Learn to develop your organizational projects with the Lean Six Sigma Green Belt certification online program. Aligned to the IASSC exam, this online six sigma certification integrates lean and the DMAIC methodology with case studies to provide you the skills required for an organization's growth.

About Simplilearn SIx Sigma green belt course:
This Lean Six Sigma Green Belt course provides an overview of Six Sigma and the DMAIC methodology and is aligned to the leading Green Belt certifications at ASQ and IASSC. In this Lean Six Sigma Green Belt course, you will learn how to measure current performance to identify process issues and how to formulate solutions.

Six Sigma Green Belt Training Key Features:
- 56 hours of high-quality blended learning
- 33 PDUs offered
- 4 simulation test papers, 4 real-life projects
- Aligned to ASQ and IASSC

Eligibility:
Lean Six Sigma professionals are in high demand due to their ability to use problem-solving techniques to reach business solutions and assuring quality control throughout the process. The Lean Six Sigma Green Belt certification is ideal for Quality system managers, Quality engineers, Quality supervisors, Quality analysts and managers, Quality auditors, and any individual wishing to improve quality and process within an organization.

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Learn the basics of reinforcement learning and how to implement it using Gymnasium (previously called OpenAI Gym). Gymnasium is an open source Python library maintained by the Farama Foundation that provides a collection of pre-built environments for reinforcement learning agents. It provides a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.

Reinforcement learning is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.

💻 Google Colab Notebook (full tutorial code): https://colab.research.google.....com/drive/1oNxRpRnht

Gymnasium documentation: https://gymnasium.farama.org/

✏️ Course developed by @EverythingTechWithMustafa
🔗 Mustaf on LinkedIn: https://www.linkedin.com/in/mu....stafa-esoofally-aab0

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:04:19) Reinforcement Learning Basics (Agent and Environment)
⌨️ (0:12:15) Introduction to Gymnasium
⌨️ (0:14:59) Blackjack Rules and Implementation in Gymnasium
⌨️ (0:18:27) Solving Blackjack
⌨️ (0:19:46) Install and Import Libraries
⌨️ (0:23:19) Observing the Environment
⌨️ (0:27:55) Executing an Action in the Environment
⌨️ (0:33:01) Understand and Implement Epsilon-greedy Strategy to Solve Blackjack
⌨️ (0:42:28) Understand the Q-values
⌨️ (0:47:29) Training the Agent to Play Blackjack
⌨️ (0:57:10) Visualize the Training of Agent Playing Blackjack
⌨️ (1:04:34) Summary of Solving Blackjack
⌨️ (1:09:57) Solving Cartpole Using Deep-Q-Networks(DQN)
⌨️ (2:29:29) Summary of Solving Cartpole
⌨️ (2:34:07) Advanced Topics and Introduction to Multi-Agent Reinforcement Learning using Pettingzoo

Correction:
00:09 Gymnasium is maintained by the Farama Foundation and is not associated with OpenAI.

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In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

Timestamps
00:00 – Intro
01:22 – Claude Code Best Practices
05:31 – Claude Code Plan Mode
09:30 – The Ask User Question Tool
14:52 – Don’t start with Ralph automation (get reps first)
16:36 – What are “Ralph loops” and why plans and documentation matter most
18:41 – Ras’s Ralph setup: progress tracking + tests + linting
23:48 – Tips & tricks: don’t obsess over MCP/skills/plugins
27:44 – Scroll-stopping software wins

Links Mentioned:

Ras's Ralphy AI Agent: https://startup-ideas-pod.link/ras-ralphy

Key Points

* Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
* Context management matters: long sessions can degrade quality, so restart earlier than you think.

Numbered Section Summaries

* The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.

* How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: don’t describe “the product,” describe the _features_ that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly.

* The Missing Piece: Tests Between Features: We talk about the shift from “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don’t stack feature two on top of a broken feature one.

* Why Default Planning Mode Isn’t Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptions—especially around UI/UX and workflow details.

* The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise.

* Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents “I built the app but it’s not what I wanted.” The interview-style planning forces trade-offs early instead of late.

* Don’t Use Ralph Until You’ve Built Without It: Ras makes a strong case for reps: if you can’t ship something end-to-end yet, automation won’t save you—it’ll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops.

* Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: don’t obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, “audacity + taste” is what makes software stand out.

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FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND MIC ON SOCIAL
X/Twitter: https://x.com/Rasmic
Youtube: https://www.youtube.com/@rasmic

GPT-3 is the biggest language ever model built, and it has been attracting a lot of attention. Rather than argue about whether GPT-3 is overhyped or not, we wanted to dig in to the literature and understand what GPT-3 is (and is not) in light of it’s predecessors and alternative transformer models. In this video we share some of what we’ve learned. What is GPT-3 really good at? What are its constraints? How useful is it for business? Enjoy!

⏰ Time Stamps ⏰
00:40 - Comparison of latest Natural Language Processing Models
01:09 - What is a Transformer Model
01:50 - The Two Types of Transformer Models
02:15 - Difference between bi-directional encoders (BERT) and autoregressive decoders (GPT)
04:40 - GPT-3 is HUGE, does size matter?
05:24 - Presentation of size differences between GPT-3 relative to BERT, RoBERTa, GPT-2, and T5
07:40 - What does GPT do and how is it different than the BERT family?
18:05 - Is GPT-3 a Child Prodigy or a Parlor Trick?
18:44 - Back to the Issue of GPT-3's size
19:30 - Final thoughts on GPT-3 vs BERT

🔥Post Graduate Program In Cyber Security: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=KaliLinuxTutorialFor2022&utm_medium=Descriptionff&utm_source=youtube

In this video on Kali Linux Tutorial for 2022, we cover the basics of Kali Linux as an OS for penetration testing and ethical hacking. We have made it a beginner's guide to Kali Linux with explanations on how to install Kali Linux, detailed demos about the different types of network security attacks, as well as the rival operating system that is parrot security OS.

What Is Kali Linux?
Features of Kali Linux
Ways to Install Kali Linux
Introduction to Parrot Security OS
Features of Parrot Security and Kali Linux
How to Install Kali Linux on VMware?
Five Stages of Penetration Testing
Best Tools for Kali Linux
Linux Terminal Basics
Setting Up Proxy Chains
Running N-Map Scans
Wireshark Sniffing
Metasploit Hands-On
Gaining Root Access from Windows 10
What Is Kali NetHunter?
Versions and Features of NetHunter
Pros & Cons of Kali NetHunter

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

✅ Key Features

- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
- Featuring Modules from MIT SCC and EC-Council
- 8X higher interaction in live online classes conducted by industry experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry case studies in cyber security
- Access to CEH Pro Version
- 25+ hands-on projects
- Capstone project in 3 domains
- MIT CSAIL Professional Programs Community

✅ Skills Covered

- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

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▀▀▀
Huge thanks to the Australian Reptile Park for having us over to film – special thanks to Jake Meney for showing us the spiders and Caitlin Vine for organizing the shoot. https://www.reptilepark.com.au

Huge thanks to Dr Timothy Jackson with his help and answering our questions.

Thanks to Seqirus Australia for providing B-roll footage of the antivenom production process.


▀▀▀
References:

Pineda, S. S., Sollod, B. L., Wilson, D., Darling, A., Sunagar, K., Undheim, E. A., ... & King, G. F. (2014). Diversification of a single ancestral gene into a successful toxin superfamily in highly venomous Australian funnel-web spiders. BMC genomics, 15(1), 1-16 - https://ve42.co/Pineda2014

Isbister, G. K., Gray, M. R., Balit, C. R., Raven, R. J., Stokes, B. J., Porges, K., ... & Fisher, M. M. (2005). Funnel-web spider bite: a systematic review of recorded clinical cases. Medical journal of Australia, 182(8), 407-411 - https://ve42.co/Isbister2005

Herzig, V., Sunagar, K., Wilson, D. T., Pineda, S. S., Israel, M. R., Dutertre, S., ... & Fry, B. G. (2020). Australian funnel-web spiders evolved human-lethal δ-hexatoxins for defense against vertebrate predators. Proceedings of the National Academy of Sciences, 117(40), 24920-24928 - https://ve42.co/Herzig2020

Nicholson, G. M., & Graudins, A. (2002). Spiders of medical importance in the Asia–Pacific: Atracotoxin, latrotoxin and related spider neurotoxins. Clinical and experimental pharmacology and physiology, 29(9), 785-794 - https://ve42.co/Nicholson2002

Fletcher, J. I., Chapman, B. E., Mackay, J. P., Howden, M. E., & King, G. F. (1997). The structure of versutoxin (δ-atracotoxin-Hv1) provides insights into the binding of site 3 neurotoxins to the voltage-gated sodium channel. Structure, 5(11), 1525-1535 - https://ve42.co/Fletcher1997

Australian Reptile Park. (2022). Snake and Spider First Aid - https://ve42.co/ARPFirstAid

The Australian Museum. (20 ). Spider facts - https://ve42.co/SpiderFacts


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


▀▀▀
Written by Katie Barnshaw & Derek Muller
Edited by Trenton Oliver
Filmed by Petr Lebedev, Derek Muller and Jason Tran
Animation by Ivy Tello, Jakub Misiek and Fabio Albertelli
Neuron animation by Reciprocal Space – https://www.reciprocal.space
Additional video/photos supplied from Getty Images, Pond5
B-roll supplied by Seqirus Australia
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, Emily Zhang & Katie Barnshaw

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka tutorial explains the 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, Various techniques used for feature selection like filter methods, wrapper methods. Embedded methods along with practical examples in Python. Explore the feature selection statistics and advantages and disadvantages of feature selection.
We will be covering the following topics in this video:
00:00:00 - Introduction
00:00:52 - Need for Feature Selection
00:02:15 - What is Feature Selection?
00:02:51 - Importance of Feature Selection
00:03:32 - Feature Selection Statistics
00:04:52 - Various Techniques
00:05:28 - Filter Method with Hands-on
00:10:20 - Wrapper Method with Hands-on
00:14:22 - Embedded Method with Hands-on
00:17:48- Advantages of Feature Selection
00:18:27 - Disadvantages of Feature Selection
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.