Building Machine Learning Regression Models Using Scikit-Learn

Learn how to build machine learning regression models using the scikit-learn library from python.

Building Machine Learning Regression Models Using Scikit-Learn

Learn how to build machine learning regression models using the scikit-learn library from python.
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About the Class

This course is aimed at students and practitioners of data sciences to build predictive analytics models for research and commercial purposes.

Machine learning can be used to solve prediction problems for classification and regression. In this course, we discuss using machine learning for building regression models. We will use python language. In python, we have many options for building machine learning solutions like tensor flow, Keras, etc. In this project, we use scikit-learn.

Scikit-learn provides a comprehensive array of tools for building regression models (scikit-learn also has tools for solving classification problems). The concepts learned in this project can be extended to build neural networks and other types of models using tools like Tensor Flow or Keras, etc using Python or any other language like R.

Before diving into building regression models using scikit-learn, the course discusses the concepts required to understand the process and mechanism for building such models. As it is, easy to understand the concepts working through excel. And also it can be experienced visually. We start the course through an explanation of the associated concepts using excel.

Author

 

Partha Majumdar

Just a Programmer
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Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution,...

Class Requirements

  • You should have knowledge of computer software programming
  • You should have knowledge of programming with python
  • You should have good knowledge of Microsoft excel
  • You should have some knowledge of predictive analytics

What's Included

Language: English
Level: Intermediate
Skills: Regression, Python, Vector Machine, Scikit-Learn, Machine Learning, Linear Regression, Random Forest
Age groups: 18+ years
Certificate: On completion
Duration: 1 hour 47 minutes
10 Videos
4 Documents
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