- Machine Learning Roadmap (Blog)
- Machine Learning RoadMap (Video)
- Machine Learning Roadmap (Hindi)
- YouTube Channels
- Blogs
- Books
- Courses
- Podcasts
- Dataset
- Python Libraries For Machine Learning
- Maths for Machine Learning
- Platform for Free GPU
- Practice Questions
- Project Ideas
- The Missing Roadmap to Self-Study Machine Learning by Machine Learning Mastery
- Best Machine Learning Roadmap | Definitive guide to ML for 2022
- A Machine Learning Roadmap by Santiago
- Complete Roadmap for Machine Learning | ML Roadmap for Beginners By CodeBasics
- Complete Roadmap To Follow To Prepare Machine Learning With All Videos And Materials by Krish Naik
- Ultimate Machine Learning Roadmap 2022 by Smitha Kolan - Machine Learning Engineer
- Complete Roadmap To Learn Machine Learning by CodeWithHarry
- Detailed Roadmap for Machine Learning | Free Study Resources | Simply Explained by Apna College
- Complete Roadmap for Machine Learning || Noob to Advanced || ML 2020 by Love Babbar
- FreeCodeCamp
- Sentdex
- Machine Learning with Phil
- Python Engineer
- Santiago
- Krish Naik
- Josh Starmer
- Ken Jee
- DataSchool
- CampusX
- codebasics
- Data Professor
- Abhishek Thakur
- Andreas Mueller
- HuggingFace
- Andrej Karpathy
- Machine Learning Mastery
- Eugene Yan
- OpenAI
- The Google AI Blog
- BAIR Blog
- DeepMind's Blog
- NVIDIA
- Google Developers Blog
- DZone
- Fennel
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems
- Data Mining: Practical Machine Learning Tools and Techniques.
- Python Data Science Handbook: Essential Tools for Working with Data
- Approaching (Almost) Any Machine Learning Problem
- The Hundred-Page Machine Learning Book
- Python Machine Learning
- Pattern Recognition and Machine Learning
- Machine Learning Specialization by Andrew NG on Coursera
- Kaggle Courses
- Machine Learning Crash Course
- Machine Learning Course by EdX
- Machine Learning Specialization University of Washington on Coursera
- Introduction to Machine Learning Course by Udacity
- Machine Learning with Python by IBM
- Gradient Dissent - A Machine Learning Podcast by Weights & Biases
- This Week in ML & AI Podcast
- Data Skeptic
- Linear Digressions
- O'Reilly Data Show
- The Talking Machines
- Practical AI
- Lex Fridman Podcast
- Talk Python To Me
- Kaggle Dataset
- UCI Machine Learning Repository
- Google Dataset
- Microsoft Research Open Data
- VisualData Discovery
- AWS Registry of Open Data on AWS
- AwesomeData GitHub
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- Scipy
- Theano
- XGBoost
- LightGBM
- Bokeh
- Plotly
- Graphviz
- Folium
- Transformers
- spaCy
- NLTK
- Pillow
- opencv-python
- scikit-image
- Streamlit
- Gradio
- fastai
- Essence of linear algebra by 3Blue1Brown
- Linear Algebra | Khan Academy
- Linear Algebra And Its Applications by Gilbert Strang (Book)
- Statistics and Probability | Khan Academy
- Seeing Theory (Interactive Website and Book)
- Think Stats: Exploratory Data Analysis (Book)
- Think Bayes: Bayesian Statistics in Python (Book)
- Essence of calculus by 3Blue1Brown
- Multivariable calculus | Khan Academy
- bnomial. Solve one Machine Learning questions daily.
- Stock Price Prediction
- Titanic Survival Project
- Music / Movie Recommendation System
- MNIST Handwritten Digit Classification
- House Price Prediction
- Anomaly Detection
- Digit Recognizer Project
- Image Recognition
- Market Basket Analysis
- Social Media Sentiment Analysis
Pull Requests are Welcome!!!