Multivariate Analysis and Machine Learning Techniques Feature Analysis in Data Science Using Python

Description

Multivariate Analysis and Machine Learning Techniques
This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI/ML, and other computational techniques for solving data science problems using Python. The topics covered include a working introduction to programming with Python for data analytics, probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (including logistic regression, linear discriminant analysis, decision tree, and support vector machines), cluster analysis, survival analysis, general computational techniques (market basket analysis, social network analysis, and recommendation systems), machine learning, and deep learning.