Book Content
chapters • 6h16m total length
1. Data Mining and Getting Started with Python Tools
2. Basic Terminology and Our End-to-End Example
3. Collecting, Exploring, and Visualizing Data
4. Cleaning and Readying Data for Analysis
5. Grouping and Clustering Data
6. Prediction with Regression and Classification
7. Advanced Topics - Building a Data Processing Pipeline and Deploying It
