Description
In this course, we'll work on a project to create a model that uses linear regression to forecast the cost of a home.
This project's goal is to gain practical experience with a real-world dataset and receive machine learning algorithm training.
By the end of the course, you will have learned Python programming, Scikit libraries, feature engineering, dataset preparation, and methodologies for data visualisation. You will also have gained practical experience with the dataset (Matplotlib).
One must have a basic understanding of the Python programming language, machine learning methods, and statistics in order to successfully finish this course. Anaconda ought to be installed on your machine.
Course Duration:-3h 24m