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About Data Mining Notes
The document provides an index for a course on business analytics and data mining modeling using R. It lists 60 topics organized across 12 weeks. Each topic is assigned a page number. The index provides an overview of the course structure and content that will be covered, with a focus on techniques like data visualization, dimension reduction, performance metrics, predictive modeling, machine learning algorithms, and more. Key algorithms to be covered include linear regression, k-NN, naive Bayes, decision trees, logistic regression, and artificial neural networks.
Detailed Information
| Author: | ['KEERTHANA DEVI A'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 1231 |
| Language: | English |
| Format: | |
| Price: | FREE |
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