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Python Data Analysis - Third Edition

You're reading from  Python Data Analysis - Third Edition

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Pages 478 pages
Edition 3rd Edition
Languages
Authors (2):
Avinash Navlani Avinash Navlani
Profile icon Avinash Navlani
Ivan Idris Ivan Idris
Profile icon Ivan Idris
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries 3. NumPy and pandas 4. Statistics 5. Linear Algebra 6. Section 2: Exploratory Data Analysis and Data Cleaning
7. Data Visualization 8. Retrieving, Processing, and Storing Data 9. Cleaning Messy Data 10. Signal Processing and Time Series 11. Section 3: Deep Dive into Machine Learning
12. Supervised Learning - Regression Analysis 13. Supervised Learning - Classification Techniques 14. Unsupervised Learning - PCA and Clustering 15. Section 4: NLP, Image Analytics, and Parallel Computing
16. Analyzing Textual Data 17. Analyzing Image Data 18. Parallel Computing Using Dask 19. Other Books You May Enjoy
Supervised Learning - Regression Analysis

Regression is the most popular algorithm in statistics and machine learning. In the machine learning and data science field, regression analysis is a member of the supervised machine learning domain that helps us to predict continuous variables such as stock prices, house prices, sales, rainfall, and temperature. As a sales manager at an electronic store, for example, say you need to predict the sales of upcoming weeks for all types of products, such as televisions, air conditioners, laptops, refrigerators, and many more. Lots of factors can affect your sales, such as weather conditions, festivals, promotion strategy, competitor offers, and so on. Regression analysis is one of the tools that can help you to identify the importance of such factors that are important to make decisions at the store.

Regression analysis identifies how the...

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