🔥 Python Certification Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Predictive Analysis Using Python' covers the concept of making predictions based on data analysis and modeling using machine learning. Following are the topics discussed in this session:
00:00 - Introduction
00:53 - What is Predictive Analysis?
01:44 - Applications of Predictive Analysis
04:34 - Steps Involved in Predictive Analysis
08:54 - Predictive Analysis Using Python

🔹Python Tutorial Playlist: https://goo.gl/WsBpKe
🔹Blog Series: http://bit.ly/2sqmP4s

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#Edureka #PythonEdureka #predictiveanalysis #machinelearning #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training 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, you will be taught of 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 the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

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Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Edureka Python Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Support Vector Machine Tutorial' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.

🔷🔸About the Speaker🔸🔷
Name: Dr. Rajesh Kumar
Details:
◾Data Science Head at SCG Chemicals
◾Ex - Ernst & Young, Ex-Intel, Ex - Mercedes Benz
◾16 years of experience spanning across IT Services, Petrochemicals, Hi-Tech, Business Consulting, Supply Chain, and Automotive Industries.
◾A Ph.D. holder from the Indian Institute of Science
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#Edureka #PyhtonEdureka #Supportvectormachineinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #PythonEdureka learn #withme


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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
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 the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
- - - - - - - - - - - - - - - - - - -

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:


· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models


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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.

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

When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.

English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.

Spanish
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Portuguese
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For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
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If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
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...or just donating to StatQuest!
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Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.

#StatQuest #NeuralNetworks #Deeplearning #DubbedWithAloud

If you’re interested in using Machine Learning and LLMs at your organization, or just want some insight into best practices, this one is for you!

In this live session with Machine Learning Upgrade author Kristen Kehrer, you’ll learn about key concepts like MLOps, LLMs, ML Infrastructure, and how all of these things can fit together in a holistic, end-to-end system.

You’ll leave with a better understanding of cutting edge Machine Learning tech and organizational best practices so you can help forge the future in data.

What You'll Learn:
1) How LLMs are being used in the world of unstructured data
2) How you can leverage MLOps techniques when building LLM-powered applications
3) Best practices for prompt writing, prompt testing, and evaluating LLMs

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

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Join today and see why we've earned 50,000+ perfect 5-star reviews from students around the world.
This is a limited-time deal; take advantage of the savings today!
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This Video on Data Analytics Full Course by Simplilearn will help you learn everything you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating Power BI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.

00:00:00 Introduction to Data Analytics Full Course
00:04:02 What is Big Data
00:05:26 What is Data Analytics
00:07:30 Data Science Vs Data Analyst
00:21:34 Steps Involved in Data Analytics
00:29:52 Data Analyst Roadmap
00:31:00 What is DBMS
00:42:32 Top BI Terms every data analyst know
01:02:24 Create PowerBI Dashboard in minutes
01:47:39 Who is a Data Analyst till R or Python
03:26:56 Data Analysis with Python
03:30:20 Descriptive Analysis Vs Stat
03:47:52 What is ETL
04:02:56 Descriptive statistics using excel
04:19:17 Data Transformation
07:44:15 Data Manipulation In R
07:59:52 Chatgpt and Excel with Data Analytics
08:03:09 SQL Basics
08:33:44 Tableau Calculations and filters
09:18:37 SQL Server tutorial
09:18:47 Data Analytics using AI
09:53:08 Top 10 Data Analytics certifications

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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

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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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✅ Post Graduate Program certificate and Alumni Association membership
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Skills Covered

✅ Data Analytics
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✅ Linear and logistic regression modules
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✅ Supervised Learning

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Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We'll take you from zero to building production-ready AI systems with hands-on labs.

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• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools

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✓ Making your first OpenAI API calls
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10:12 - Practice Labs - Your First AI API Call
14:57 - Practice Labs - LangChain
17:57 - Prompt Engineering Techniques
21:21 - Practice Labs - Master Prompt Engineering
24:46 - Vector Databases Deep Dive
31:27 - Practice Labs - Build Semantic Search Engine
35:15 - RAG (Retrieval Augmented Generation)
38:14 - Practice Labs - RAG Implementation
42:14 - LangGraph for AI Workflows
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48:51 - Model Context Protocol (MCP)
51:56 - Practice Labs - Advanced MCP Concepts
55:21 - Conclusion

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Want to build AI agents and turn them into a real income source? In this complete beginner's guide, you'll learn how to build, package, and sell AI agents—even if you're starting from zero.

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🔥 In this video, you'll learn

. What AI agents are and how they work
. How to build your first AI agent from scratch
. Which AI tools you can use to create agents
. How to find businesses that need AI agents
. How to choose profitable AI agent services
. How to price and sell your AI agents
. How to get your first AI agent client
. How to turn AI agents into a scalable business
. Common mistakes beginners should avoid

Download - https://www.theiscale.com/coho....rt/course-details/ai

Timestamp
00:00:00 - Introduction & The Rise of AI Agents
00:01:17 - What is an AI Agent?
00:02:28 - Key Course Outcomes & Portfolio Projects
00:03:44 - AI Assistant vs. AI Agent
00:07:40 - Core Components of an AI Agent
00:10:15 - AI for Everyone Cohort Program Overview
00:12:27 – Practical Project - Agent 1: Voice AI Agent for Customer Support (ElevenLabs)
00:16:55 - Voice Agent Configuration & Live Testing
00:20:48 – Practical Project -Agent 2: Business Support & Invoice Automation Agent (Zapier)
00:26:03 - Zapier Workflow Setup, Tool Integrations & Live Testing
00:34:53 - Monetization Strategy: Packaging & Scaling AI Agents
00:36:55 - 7 Proven Business Models for Selling AI Agents
00:46:38 – Practical Project - Agent 3: Startup Branding & Consultant AI Agent (n8n)
00:51:05 - Google AI Studio API Key Setup & Testing n8n Agent
00:56:14 - Practical Project - Agent 4: E-Commerce Support & Order Tracker Agent (Langflow)
00:59:03 - Installing & Initializing Langflow
01:01:24 - Building the Langflow Architecture (LLM, Knowledge Base & Memory)
01:07:28 - Playground Live Testing & Final Conclusions

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Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. You will implement the core abilities for your agent to interact with and modify a codebase, including reading files, writing to files, and executing code to get feedback.

Lane Wagner created this course.

Check out the interactive version of the course on boot.dev: https://www.boot.dev/courses/build-ai-agent-python

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Contents ⭐️
- 00:00:00 Introduction
- 00:01:14 Why Build an AI Agent?
- 00:01:49 Course Overview & What We're Building
- 00:02:25 How to Follow Along
- 00:03:47 What is an AI Agent? (Agentic Loops & Tool Calling)
- 00:06:03 The Agent's Four Tools
- 00:07:58 Prerequisites & Project Goals
- 00:10:08 Demo: Agentic vs. One-Shot Responses
- 00:13:07 Python Project Setup with UV
- 00:15:44 Getting Started with the Gemini API
- 00:19:21 Making Your First API Call
- 00:24:44 Accepting Command-Line Arguments
- 00:27:46 Managing Conversation History
- 00:30:39 Adding a Verbose Flag for Debugging
- 00:33:35 Setting Up the Project for Our Agent (Calculator App)
- 00:36:23 Building Tool #1: Get Files Info
- 00:49:39 Building Tool #2: Get File Content
- 00:58:24 Building Tool #3: Write File
- 01:05:26 Security Note: Dangers of Running AI-Generated Code
- 01:07:30 Building Tool #4: Run Python File
- 01:18:00 Understanding the System Prompt
- 01:33:10 How Tool Calling Works: Declaring Functions for the LLM
- 01:41:38 Adding All Function Declarations
- 01:49:19 Implementing the Function Calling Logic
- 01:57:30 Creating the Agentic Loop
- 02:07:11 Final Demo: Agent Fixes a Bug Autonomously
- 02:13:44 Conclusion & Next Steps

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
👾 Ulises Moralez
👾 Goddard Tan
👾 David MG
👾 Matthew Springman
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Learn to code for free and get a developer job: https://www.freecodecamp.org

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High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 16k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.

⭐ Note: To view at 8K 60P you will need to use Chrome & opera.

⭐ All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.

⭐ I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.

Editing Video by
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This video created for entertainment informative, educational purposes and Film & Animation.


Editing Software
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ALL CREDIT GOES TO YOUTUBE

Copyright
⭐ All The footage Was Edited And Color Corrected By Me.
⭐ Video Footage Copyright Under License.

All other rights reserved.

#12khdr #dolbyvision #60fps

Celebrate the best video games of the year and see what's next at THE GAME AWARDS. Hosted by Geoff Keighley, live from the Microsoft Theater in Los Angeles. Featuring performances by The Game Awards Orchestra and Hozier, plus presenters including Pedro Pascal, Bella Ramsey, Troy Baker, Ashley Johnson, Daniel Craig, Rian Johnson and Jessica Henwick, Ken and Roberta Williams, Josef Fares, Fuslie and Valkyrae, Animal from The Muppets and more!

Including world premieres of STAR WARS Jedi: Survivor, Tekken 8, Destiny 2: Lightfall, and more!

Subscribe to Watch more Game Awards: http://bit.ly/tga18sub

Follow The Game Awards on Twitter: http://www.twitter.com/thegameawards

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http://www.instagram.com/thegameawards

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http://www.twitter.com/geoffkeighley

If you need help quitting vaping, text “GAMEAWARDS” to 88709 or visit thetruth.com/enable for support from @truthorange and This is Quitting

#thegameawards #gameoftheyear #tga2022

0:00 - Opening Act
31:47 - The Game Awards

Train ChatGPT & GPT-4 For PERFECT Midjourney V5 Images! In this video, I'm gonna show you how you can craft amazing and super creative prompts for Midjourney using ChatGPT and GPT-4! Unleash the full potential of Ai art!

What did you think of this trick? Let me know in the comments!
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SOCIAL MEDIA LINKS!
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ChatGPT: https://chat.openai.com/

Midjourney: https://www.midjourney.com/app/

Full prompt: https://pastebin.com/8zeBDedK

Previous GPT-4 Secret Prompts video: https://youtu.be/OHdB5sqZMTs


All ControlNet Videos: https://www.youtube.com/playli....st?list=PLkIRB85csS_

My previous ControlNet video: https://youtu.be/PbDdtPTYm_4

3D POSE & HANDS INSIDE Stable Diffusion! Posex & Depth Map: https://youtu.be/EwWkLMhR23I

Multiple Characters With LATENT COUPLE: https://youtu.be/uR89wZMXiJ8

GET PERFECT HANDS With MULTI-CONTROLNET & 3D BLENDER: https://youtu.be/ptEZQrKgHAg

NEXT-GEN MULTI-CONTROLNET INPAINTING: https://youtu.be/MDHC7E6G1RA

CHARACTER TURNAROUND In Stable Diffusion: https://youtu.be/xMmCZ1EqMVA

EASY POSING FOR CONTROLNET : https://youtu.be/vvrH1Lcx-jo

3D Posing With ControlNet: https://youtu.be/5z71oxf8kh4

My first ControlNet video: https://youtu.be/OxFcIv8Gq8o

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►► My PC & Favorite Gear:
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Special thanks to Royal Emperor:
- Totoro

Thank you so much for your support on Patreon! You are truly a glory to behold! Your generosity is immense, and it means the world to me. Thank you for helping me keep the lights on and the content flowing. Thank you very much!

#GPT4 #GPT3 #ChatGPT #midjourney
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WATCH MY MOST POPULAR VIDEOS:
RECOMMENDED WATCHING - My "Stable Diffusion" Playlist:
►► https://bit.ly/stablediffusion

RECOMMENDED WATCHING - My "Tutorial" Playlist:
►► https://bit.ly/TuTPlaylist

Disclosure: Bear in mind that some of the links in this post are affiliate links and if you go through them to make a purchase I will earn a commission. Keep in mind that I link these companies and their products because of their quality and not because of the commission I receive from your purchases. The decision is yours, and whether or not you decide to buy something is completely up to you.

In this Python NLP Tutorial, We'll learn how to fine-tune a pre-trained GPT2 Model with Custom Text Data (Indian Food Recipes) and let the model generate new Text. This is done using aitextgen package and we use 124M GPT-2 Model for Demonstration.

Links:

GPT2 generated Indian Food Recipes - https://www.kaggle.com/nulldat....a/gpt2-generated-ind

aitextgen github - https://github.com/minimaxir/aitextgen

aitextgen documentation - https://docs.aitextgen.io/

How to upload model to hugging face - https://docs.aitextgen.io/upload/

6000+ Indian Food Recipes Dataset- https://www.kaggle.com/kanishk....307/6000-indian-food

Recommended Videos:

Build Streamlit PCA Web App in Python - Code Walkthrough - https://youtu.be/3LjZCvbjq3A


MBart Language Translation (English to Tamil/Hindi) using Hugging Face | Python NLP
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https://youtu.be/oO7k5lH8Oe8

❤️ Check out Anyscale and try it for free here: https://www.anyscale.com/papers

📝 The paper "#GPT-4 Technical Report" is available here:
https://cdn.openai.com/papers/gpt-4.pdf

More here:
https://openai.com/product/gpt-4

App development: https://twitter.com/zaid/statu....s/163736539552613171
The most beautiful sentence: https://reddit.com/r/ChatGPT/c....omments/121t9b4/the_
Doggy: https://twitter.com/peakcooper..../status/163971682268
Safe code: https://twitter.com/moyix/stat....us/16425874103692656
Finds security holes: https://twitter.com/feross/sta....tus/1641548124366987
App design: https://www.usegalileo.ai

📝 Paper with caustics:
https://users.cg.tuwien.ac.at/....zsolnai/gfx/adaptive

My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

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