Table of contents:
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- Free Programming Books
- Natural Language Processing with Python
- Think Stats
- Bayesian Methods for Hackers
- R for Data Science
- Machine Learning Yearning
- Hands-on Machine Learning with Scikit-learn and Tensorflow
- Forecasting: Principles and Practice
- Deep learning
- Linear Algebra
- Introduction to Machine Learning with Python
- Towards Data Science
- KD nuggets
- HuggingFace Blog
- Comet Blog
- Assembly AI
- Geeks for Geeks
- Weights & Biases Blog
- Analytics Vidhya
- Datacamp Blog
- Papers with code
- Aman.ai-exploring the art of AI
- Different project topics for learning purposes
- Online challenge
- Data science challenges are made on Kaggle using Python
- Data science projects
- Kaggle Data science projects
- Kaggle Courses
- Pattern Classification
- Feature Selector: Simple Feature Selection in Python
- Scikit Learn Mooc
- Hands-on Machine Learning & Deep Learning
- Data Science Best Resources
- Stats and Maths with Python
- Transformers
- BERT
- StyleGAN
- CLIP
- The game of Go with deep neural networks
- DNN for YouTube Recommendations
- Python Data Science Handbook by Jake VanderPlas
- Neural Networks and Deep Learning by Michael Nielsen
- Think Bayes by Allen B. Downey
- Machine Learning & Big Data by Kareem Alkaseer
- Statistical Learning with Sparsity The Lasso and Generalizations by Trevor Hastie
- ML Interviews Book
- Machine Learning Simplified
- Production Machine Learning Systems
- Google Cloud Big Data and Machine Learning Fundamentals
- MLOps (Machine Learning Operations) Fundamentals
- ML Pipelines on Google Cloud
- Machine Learning for Beginners -
- 100 Days Of ML Code
- Awesome Machine Learning
- Project-Based Learning
- Homemade Machine Learning
- 500 AI & Machine-learning Projects with Code
- Principles of Machine Learning Python by MicrosoftLearning
- Machine Learning Basics
- TOBB ETU Machine Learning Course
- DataCamp Notebooks
- Machine Learning Guide
- Practical Machine Learning with Python
- Machine Learning Pathway
- Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow
- Machine Learning with PyTorch and Scikit-Learn
- Deep Learning with Python
- AI and Machine Learning for Coders
- Deep Learning for Coders with fastai & PyTorch
- Deep Learning from Scratch
- Grokking Deep Learning
- Fundamentals of Deep Learning
- Deep Learning with TensorFlow and Keras
- Deep Learning
- FastAI Course
- Computer Vision
- Awesome-TensorFlow
- Awesome AI Courses
- Awesome Deep Learning
- AI-For-Beginners
- Computer Vision Lectures
- Everything about Transfer Learning
- Pytorch Beginner
- Variational autoencoder for anomaly detection
- PyTorch for Deep Learning & Machine Learning – Full Course
- PyTorch Crash Course
- Object Detection
- Deep Learning with PyTorch
- Reinforcement Learning
- LLM Courses
- Awesome Generative AI Guide
- Stable diffusion with Keras with Pokemon Dataset
- Expert-Level Tutorials on Stable Diffusion)
- Awesome ChatGPT
- Natural Language Processing Tutorial
- NLP Recipes
- NLP Course
- NLP in Python Tutorial
- Awesome NLP
- Deep Learning Drizzle
- Building applications with LLMs
- Awesome LangChain
- Overview - Tutorial - Examples of LangChain
- Share LLM apps
- FlagAI (Fast LArge-scale General AI models)
- OpenAI CookBook
- Code Basics LangChain Tutorials
- Cohere LLM University
- Conversation QA Gradio
- The Data Engineering Cookbook
- Data Engineering Zoomcamp
- Awesome Data Engineering
- Udacity Data Engineering Projects
- Data Engineering Practice
- Awesome Opensource Data Engineering
- Data Engineering Zoomcamp
- How To Become a Data Engineer
- HashtagCashtag
- Building a Data Engineering Project in 20 Minutes
- Analyzing GitHub Repos
- Web Crawler For Online Inflation
- This repo
- Data Engineering Project
- Data Engineering Practice
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