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You can use this page to email A.J. García about Applied Multivariate Analysis with Python.
About the Book
In today's world, Data is everywhere and it is getting easier to produce it , collect it and perform multiple analysis.
This book is designed as a step by step guide on how to perform multivariate analysis with Python. It focuses on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis).
The book's main idea is to focus on the step by step implementation. It is not necessary to have an advanced knowledge of Python but it is recommended to be familiar with the basics of programming, basics of Python, Statistics, Math and some Multivariate Methods.
The chapters in the book cover the following:
- Setting up the python environment.
- Reading and Plotting Multivariate Data.
- Calculating Summary Statistics for Multivariate Data
- Principal Component Analysis.
- Linear Discriminant Analysis.
Check out other books from the author:
Applied Multivariate Analysis with R
Data Science Workflow for Beginners
Front End Developer Interview Questions
Backend Developer Interview Questions
About the Author
I started my coding career back in 2003. Lately I've been involved a lot in Javascript for frontend and the backend.
I would love passing along to you some of the experiences and challenges I've faced over the years.