Machine learning with Python cookbook: practical solutions from preprocessing to deep learning

✍ Scribed by Albon, Chris

Publisher: O'Reilly Media, Inc.
Year: 2018
Tongue: English
Leaves: 349
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Vectors, matrices, and arrays -- Loading data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text -- Handling dates and times -- Handling images -- Dimensionalit reduction using feature extraction -- Dimensionality reduction using feature selection -- Model evaluation -- Model selection -- Linear regression -- Trees and forests -- K-nearest neighbors -- Logistic regression -- Support vector machines -- Naive bayes -- Clustering -- Neural networks -- Saving and loading trained models.

✦ Table of Contents

Vectors, matrices, and arrays --
Loading data --
Data wrangling --
Handling numerical data --
Handling categorical data --
Handling text --
Handling dates and times --
Handling images --
Dimensionalit reduction using feature extraction --
Dimensionality reduction using feature selection --
Model evaluation --
Model selection --
Linear regression --
Trees and forests --
K-nearest neighbors --
Logistic regression --
Support vector machines --
Naive bayes --
Clustering --
Neural networks --
Saving and loading trained models.

✦ Subjects

Aprendizaje automático;Python (Lenguaje de programación);Aprendizaje automático;Python (Lenguaje de programación)

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