The goal of this course is to use Python to carry out a machine learning project on linear regression. In this course, we will forecast a car model's mileage based on historical data for numerous aspects that could affect the mileage.

You will know the processes a Data Scientist takes to prepare the data for machine learning, run the ML process, validate the findings, and approach to improve the model performance by the end of the course. You will also be able to grasp and analyse a business requirement.

Depending on your previous experience with data science, the level of difficulty for this course ranges from Intermediate to Advanced. Participants should be familiar with Numpy, Pandas, Matplotlib, Python Libraries, and Python for Data Science. It will also be helpful to be familiar with machine learning and related statistics.

Course Duration:-2h 31m