Regression using Scikit-Learn
Offered By: Coursera Community Project Network via Coursera
Course Description
Overview
This project is aimed at students and practitioners of Data Sciences for building Predictive Analytics models for research and commercial purposes.
Machine Learning can be used to solve prediction problems for classification and regression. In this project, we discuss about 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. The concepts learnt in this project can be extended to build Neural Networks using Tensor Flow or Keras or any other tool.
This Guided Project was created by a Coursera community member.
Machine Learning can be used to solve prediction problems for classification and regression. In this project, we discuss about 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. The concepts learnt in this project can be extended to build Neural Networks using Tensor Flow or Keras or any other tool.
This Guided Project was created by a Coursera community member.
Taught by
PARTHA MAJUMDAR
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