Linear Regression Implementation In Python Using Scikit-learn #1

Published: 21 April 2021
on channel: Shikha Singh
777
96

In this video, we will implement linear regression using the scikit-learn library in Python from scratch!
We will be using the student’s scores dataset (download from GitHub link below) dataset.

GitHub link for jupyter notebook and dataset:
https://github.com/shikha12264/Linear...

TABLE OF CONTENTS:
Linear regression overview
Simple Linear regression
Dataset Visualization (pandas)
Scatter plot for dataset
Split into training n testing dataset (numpy arrays)
Regression model for dataset
Selection of best fit line using least sum of squares
Line equation for best fit line
Evaluation of regression model
Using metrics module of sklearn

In the previous video ( #0 ), have explained simple linear regression models in detail

Visit :    • Simple Linear Regression Using Least ...  

So, if you have any queries or suggestions regarding this, feel free to put in the comment section,I really appreciate it and do like,share and subscribe my Channel!!
Hit the bell icon below to stay tuned for further updates!!

Follow me on :-

Github : https://github.com/shikha12264
LinkedIn :   / shikha-singh-905b431a6  
Instagram :   / shikha_singh_04_  

#machinelearning #datascience #regressionmodels #simple_linear_regression #regression #python #scikitlearn #numpy #pandas #matplotlib


On this page of the site you can watch the video online Linear Regression Implementation In Python Using Scikit-learn #1 with a duration of hours minute second in good quality, which was uploaded by the user Shikha Singh 21 April 2021, share the link with friends and acquaintances, this video has already been watched 777 times on youtube and it was liked by 96 viewers. Enjoy your viewing!