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About Machine Learning Notes
This document provides an overview of machine learning lifecycles and basic terminology. It discusses the 11 steps of a typical machine learning lifecycle including problem definition, data selection, modeling, evaluation and deployment. It also defines common terms like features, datasets, dependent and independent variables. Additionally, it covers topics like data preprocessing, transformation, univariate and multivariate analysis, and model selection.
Detailed Information
| Author: | ['Nikhita Nair'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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