This repository provides a structured walkthrough of the complete data science project lifecycle, covering data collection methods, data quality assessment with tools like cleanlab and ydata-quality, web scraping techniques, and machine learning workflows. It includes topics across supervised and unsupervised learning, deep learning with PyTorch, NLP models, reinforcement learning, and feature engineering.