1Introduction to Machine Learning & the Python…
2NumPy Crash Course
3Pandas Data Processing
4Matplotlib & Seaborn Visualization
5Getting Started with Scikit-learn
6Capstone Exercise
7Linear Regression
8Logistic Regression
9Decision Trees & Random Forests
10Support Vector Machines
11KNN & Clustering
12Feature Engineering
13Ensemble Learning
14Dimensionality Reduction
15NLP Fundamentals
16Deep Learning with PyTorch: From Neurons to M…
17Convolutional Neural Networks
18Model Evaluation & Tuning
19Getting Started with MLOps and MLflow
20Model Deployment with FastAPI and Docker
21A/B Testing & Experiment Design
22Production Monitoring and Model Drift
23Project Design
24Project Development
25Project Deployment