Book Image

Machine Learning 101 with Scikit-learn and StatsModels [Video]

By : 365 Careers Ltd.
Book Image

Machine Learning 101 with Scikit-learn and StatsModels [Video]

By: 365 Careers Ltd.

Overview of this book

Machine Learning is one of the fundamental skills you need to become a data scientist. It’s the steppingstone that will help you understand deep learning and modern data analysis techniques. In this course, you’ll explore the three fundamental machine learning topics - linear regression, logistic regression, and cluster analysis. Even neural networks geeks (like us) can’t help but admit that it’s these three simple methods that data science revolves around. So, in this course, we will make the otherwise complex subject matter easy to understand and apply in practice. This course supports statistics theory with practical application of these quantitative methods in Python to help you develop skills in the context of data science. We’ve developed this course with not one but two machine learning libraries: StatsModels and sklearn. You’ll be eager to complete this course and get ready to become a successful data scientist! All the code and supporting files for this course are available at https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels
Table of Contents (8 chapters)
Free Chapter
1
Introduction
8
Cluster Analysis: Additional Topics
Chapter 6
Logistic Regression
Content Locked
Section 1
Introduction to Logistic Regression
Logistic Regression: Introduction to Logistic Regression