Introduction of the first video
How to upload a course
Data collection, preprocessing, training, testing
Model deployment
Real-life example overview
Dataset, features, labels, algorithms, accuracy
Overfitting & underfitting
Bias and variance
Installing Python, Jupyter Notebook / Google Colab
Essential libraries: NumPy, Pandas, Matplotlib, Scikit-Learn
Introduction to notebooks