Six-step learning framework: Enables structured progression from fundamentals to advanced topics
Python 3 code examples: Provides practical implementation for each concept
IPython notebooks included: Allows interactive exploration and code extension
Coverage of advanced techniques: Includes text mining, recommender systems, neural networks, and deep learning
Model diagnosis and tuning: Teaches optimal probability cutoff, variance, bias, and ensemble methods
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Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version's approach is based on the "six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away and presents