Book Content
chapters • 8h16m total length
1. Working with NumPy Arrays
2. Linear Algebra with NumPy
3. Explanatory Data Analysis of US Housing Data withNumPy Statistics
4. Predicting Housing Prices Using Linear Regression
5. Clustering Clients of Wholesale Distributor Using NumPy
6. Python ML Squad: NumPy, SciPy, Pandas, Scikit-Learn
7. Advanced Numpy
8. Overview of High-Performance Numerical Computing Libraries
9. Performance Benchmarks














