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Machine learning with Python cookbook : Practical solutions from preprocessing to deep learning
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| Format: | Printed Book |
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Mumbai:
O'reilly: Shhroff Publishers and Distributors,
c.2018.
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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
- Dimensionality 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.