Скачать с ютуб 22 Machine Learning Projects That Will Make You A God At Data Science в хорошем качестве

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 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    • Learn Machine Learning Like a GENIUS ...   All Machine Learning Beginner Mistakes explained in 17 Min    • All Machine Learning Beginner Mistake...   All Machine Learning Concepts Explained in 22 Minutes    • All Machine Learning Concepts Explain...   All Machine Learning algorithms explained in 17 min    • All Machine Learning algorithms expla...   The Math that make Machine Learning easy (and how you can learn it)    • How Math makes Machine Learning easy ...   15 Machine Learning Lessons I Wish I Knew Earlier    • 15 Machine Learning Lessons I Wish I ...   Machine Learning Playlist:    • Machine Learning & Data Science   Machine Learning & AI in 100 seconds:    • Machine Learning & AI in 100 seconds   Git/Github Playlist:    • Git / GitHub How To Videos   Python Tutorials for Beginner Data Scientists:   • Python Tutorials for Beginners   AWESOME github repos that help you get started: https://github.com/data-flair/machine... https://github.com/shsarv/Machine-Lea... https://www.projectpro.io/article/mac... https://github.com/ashishpatel26/500-... https://github.com/gimseng/99-ML-Lear... https://github.com/aswintechguy/Machi... https://github.com/practical-tutorial... https://github.com/NirantK/awesome-pr... https://github.com/Nyandwi/machine_le... https://github.com/recodehive/machine... https://github.com/danistefanovic/bui... ================== 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)