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Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python /: a practical guide to implementing supervised and unsupervised machine learning algorithms in Python. (2020)
Record Type:
Book
Title:
Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python /: a practical guide to implementing supervised and unsupervised machine learning algorithms in Python. (2020)
Main Title:
Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Table of ContentsIntroduction to Machine Learning & Scikit-LearnMaking Decisions with TreesMaking decisions with linear equationsPreparing Your DataImage processing with nearest neighborsText Classification - Not all data exists in tablesNeural Networks - Here comes the Deep LearningEnsembles - When one model is not enoughThe Y is as important as the XImbalanced Learn - Not even 1% win the lotteryClustering - Grouping data when no correct answers are providedAnomaly Detection - Finding Outliers in DataRecommender System - Learning about users' taste from their previous interactions.
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