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About Machine Learning
This document provides an overview of machine learning using R and Python. It discusses key machine learning concepts like supervised learning, unsupervised learning, reinforcement learning, classification algorithms like Naive Bayes, decision trees, random forests, nearest neighbors, and support vector machines. Clustering algorithms like K-means clustering are also covered. Examples are provided to illustrate classification using Naive Bayes and how K-means clustering works.
Detailed Information
| Author: | ['Raja Meenakshi'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 115 |
| Language: | English |
| Format: | |
| Price: | FREE |
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