Book Content
chapters • 26h16m total length
1. Introduction to Data Analysis
2. Working with Pandas DataFrames
3. Data Wrangling with Pandas
4. Aggregating Pandas DataFrames
5. Visualizing Data with Pandas and Matplotlib
6. Plotting with Seaborn and Customization Techniques
7. Financial Analysis - Bitcoin and the Stock Market
8. Rule-Based Anomaly Detection
9. Getting Started with Machine Learning in Python
10. Making Better Predictions - Optimizing Models
11. Machine Learning Anomaly Detection
12. The Road Ahead
