Multiple Linear Regression with sklearn in Python Template
The following Multiple Linear Regression with sklearn in Python template shows how to solve a multiple linear regression problem using the machine learning package sklearn. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook. Some other related topics are Simple linear regression with sklearn Python, Linear regression with statsmodels Python, Regression summary table with statsmodels Python. You can now download the Python template for free. Multiple Linear Regression with sklearn in Python is among the topics covered in detail in the 365 Data Science program.
Who is it for
This is an open-access Python template in .ipynb format that will be useful for anyone who wants to work as a Data Analyst, Data Scientist, Business Analyst, Statistician, Software Engineer, and anyone who works with Python.
How it can help you
Linear regression models can be divided into two categories - simple and multiple. This template can be used whenever we need to perform multiple linear regression. What this means is that our data consists of several features and one target. As an example, the features can be the SAT score and the Attendance of a student. The target could be the predicted GPA.