Book Content
chapters • 24h40m total length
1. Introduction to Data Analysis
2. Working with Pandas DataFrames
3. Data Wrangling with Pandas
4. Aggregating Pandas DataFrames
5. Data Visualization with Pandas and Matplotlib
6. Plotting with Seaborn and Customization Techniques
7. Financial Analysis with Pandas: Bitcoin and the Stock Market
8. Rule-based Anomaly Detection: Catching Hackers
9. Getting started with Machine Learning in Python
10. Making Better Predictions: Optimizing ML Models
11. ML Anomaly Detection: Catching Hackers, Part 2
12. The Road Ahead
