22 Machine Learning Projects That Will Make You A God At Data Science

22 Machine Learning Projects That Will Make You A GOD At Data Science ######################################### I just started my own Patreon, in case you want to support! Patreon Link: https://www.patreon.com/c/InfiniteCodes ######################################### I wish I knew about these 22 machine learning projects when I started! Moving beyond basic Titanic datasets, I'll show you how to build everything from beginner-friendly Iris classifiers to advanced distributed ML systems. Each project is rated for difficulty, resume value, learning potential, and real-world impact - everything you need to build an impressive ML portfolio. Keywords: machine learning projects, portfolio projects, data science, ML engineering, AutoML, computer vision, NLP, MLOps. Also Watch: Learn Machine Learning Like a GENIUS and Not Waste Time https://youtu.be/qNxrPri1V0I All Machine Learning Beginner Mistakes explained in 17 Min https://youtu.be/oMc9StPVzOU All Machine Learning Concepts Explained in 22 Minutes https://youtu.be/Fa_V9fP2tpU All Machine Learning algorithms explained in 17 min https://youtu.be/E0Hmnixke2g The Math that make Machine Learning easy (and how you can learn it) https://youtu.be/wOTFGRSUQ6Q 15 Machine Learning Lessons I Wish I Knew Earlier https://youtu.be/espQDESe07w Machine Learning Playlist: https://www.youtube.com/playlist?list=PLbdTl8vSSyUDAvDPc1r3j9itciu_kb5vG Machine Learning & AI in 100 seconds: https://www.youtube.com/playlist?list=PLbdTl8vSSyUDWtx6ZRnfzU3jo0Kpd9CxX Git/Github Playlist: https://www.youtube.com/playlist?list=PLbdTl8vSSyUBJg6PI9AqfJBw8U0y9J3kY Python Tutorials for Beginner Data Scientists:https://www.youtube.com/playlist?list=PLbdTl8vSSyUAJid3yaBjqcMrvLwhcM6vf AWESOME github repos that help you get started: https://github.com/data-flair/machine-learning-projects https://github.com/shsarv/Machine-Learning-Projects https://www.projectpro.io/article/machine-learning-projects-on-github/465 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code https://github.com/gimseng/99-ML-Learning-Projects https://github.com/aswintechguy/Machine-Learning-Projects https://github.com/practical-tutorials/project-based-learning https://github.com/NirantK/awesome-project-ideas https://github.com/Nyandwi/machine_learning_complete https://github.com/recodehive/machine-learning-repos https://github.com/danistefanovic/build-your-own-x ================== Timestamps ================ 00:00 - Intro 00:54 - Exploratory Data Analysis (EDA) Portfolio (Beginner) 01:40 - Iris Flower Classification (Beginner) 02:49 - Build Your Own Linear Regression (Intermediate) 03:26 - Titanic Survival Prediction (Beginner) 04:07 - Housing Price Predictor (Beginner) 04:47 - Image Classification System (Intermediate) 05:29 - Sentiment Analysis System (Intermediate) 06:07 - Customer Churn Predictor (Beginner) 06:43 - Stock Price Predictor (Intermediate) 07:14 - Build Your Own Neural Network (Advanced) 07:49 - Real-time Face Recognition System (Advanced) 08:29 - Recommendation System (Intermediate) 08:54 - Automated ML Pipeline (Advanced) 09:21 - Language Model From Scratch (Advanced) 09:50 - A/B Testing Framework (Advanced) 10:21 - Image Generation System (Advanced) 10:49 - Multi-language NLP Pipeline (Advanced) 11:14 - Reinforcement Learning Game AI (Advanced) 11:38 - Real-time Fraud Detection System (Advanced) 12:10 - Build Your Own AutoML (Advanced) 12:38 - MLOps Pipeline (Advanced) 13:06 - Distributed ML System (Advanced)