About this document
Introduction to Machine Learning Concepts by sagarkumarharwani19 is a document available to read on EtoBox.
This document outlines the second unit of a Machine Learning course, focusing on the CRISP-ML(Q) methodology which includes phases such as business understanding, data engineering, model engineering, quality assurance, deployment, and monitoring. It emphasizes the importance of data preparation, including handling missing values, encoding categorical variables, and feature scaling. The document also discusses exploratory data analysis (EDA) tools and techniques to ensure data quality before applying machine
- Author
- sagarkumarharwani19
- Language
- EN