Machine Learning for Decision Sciences with Case Studies in Python

ISBN-13: 9781032193564 / Angielski / Twarda / 2022 / 458 str.

S. Sumathi; Suresh Rajappa; L. Ashok Kumar

Opis

This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle, Python for Machine Learning, Linear Regression, Logistic Regression and so forth. The focus is on Python programming for machine learning and patterns involved in decision science for handling data including real-world examples.

Spis treści

1. Introduction
2. Overview of Python for Machine Learning
3. Data Analytics Lifecycle for Machine Learning
4. Unsupervised Learning
5. Supervised Learning: Regression
6. Supervised Learning: Classification
7. Feature Engineering
8. Reinforcement Learning
9. Case Studies for Decision Sciences using Python