This repository is an educational resource for machine learning beginners, providing instance-based code examples using sklearn and TensorFlow along with custom functions. It covers fundamental ML algorithms including linear regression, logistic regression, softmax regression, k-means clustering, neural networks, SVM, and decision trees, with real-world examples like Boston housing price prediction, heart disease classification, and Beijing PM2.5 forecasting.