Kernel: Python 3 (ipykernel)
Machine Learning with PyTorch and Scikit-Learn
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[OK] Your Python version is 3.9.6 | packaged by conda-forge | (default, Jul 11 2021, 03:35:11)
[Clang 11.1.0 ]
[OK] numpy 1.21.2
[OK] scipy 1.7.0
[OK] matplotlib 3.4.3
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[OK] pandas 1.3.2
Chapter 1 - Giving Computers the Ability to Learn from Data
Overview
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Building intelligent machines to transform data into knowledge
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The three different types of machine learning
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Making predictions about the future with supervised learning
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Classification for predicting class labels
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Regression for predicting continuous outcomes
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Solving interactive problems with reinforcement learning
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Discovering hidden structures with unsupervised learning
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Finding subgroups with clustering
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Dimensionality reduction for data compression
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An introduction to the basic terminology and notations
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A roadmap for building machine learning systems
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Preprocessing - getting data into shape
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Training and selecting a predictive model
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Evaluating models and predicting unseen data instances
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Using Python for machine learning
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Installing Python packages
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Summary
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