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About Python Machine Learning
This document provides an overview of machine learning techniques including supervised and unsupervised learning. It discusses popular supervised learning algorithms such as linear regression, logistic regression, multi-class classification using k-nearest neighbors and support vector machines. Unsupervised learning techniques covered include natural language processing. Code examples are provided using SciKit Learn to illustrate how to apply these algorithms to problems involving regression, classification and clustering.
Detailed Information
| Author: | ['Rahul'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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