Book Content
chapters • 15h56m total length
1. Getting Started with Python Libraries
2. NumPy and Pandas
3. Statistics
4. Linear Algebra
5. Data Visualization
6. Retrieving, Processing, and Storing Data
7. Cleaning Messy Data
8. Signal Processing and Time Series
9. Supervised Learning – Regression Analysis
10. Supervised Learning – Classification Techniques
11. Unsupervised Learning – PCA and Clustering
12. Analyzing Textual Data
13. Analyzing Image Data
14. Parallel Computing using Dask
