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

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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.

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AWESOME github repos that help you get started:
github.com/data-flair/machine-learning-projects
github.com/shsarv/Machine-Learning-Projects
www.projectpro.io/article/machine-learning-project…
github.com/ashishpatel26/500-AI-Machine-learning-D…
github.com/gimseng/99-ML-Learning-Projects
github.com/aswintechguy/Machine-Learning-Projects
github.com/practical-tutorials/project-based-learn…
github.com/NirantK/awesome-project-ideas
github.com/Nyandwi/machine_learning_complete
github.com/recodehive/machine-learning-repos
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)