Data Science and Analytics with Python (Hardcover, 2 ed)

1. Trials and Tribulations of a Data Scientist? 2. Python: For Something Completely Different? 3.?The Machine that Goes “Ping”: Machine Learning and Pattern Recognition? 4. The Relationship Conundrum: Regression? 5.?Jackalopes and Hares: Clustering? 6.?Unicorns and Horses: Classification? 7.?Decisions, Decisions: Hierarchical Clustering, Decision Trees and Ensemble Techniques? 8.?Less is More: Dimensionality Reduction? 9.?Kernel Tricks up the Sleeve: Support Vector Machines? Appendix.?Pipelines in Scikit-Learn??Bibliography??Index