Data Science | How to Make Linear Regression Model in Python using sklearn or scikit-learn|Learnere

Data Science | How to Make Linear Regression Model in Python using sklearn or scikit-learn| Learnerea

Data Science | How to Make Linear Regression Model in Machine Learning using sklearn or scikit-learn module in Python | Predicting Salary Using Linear Regression Model | Learnerea

You might also like to watch -
Logistic Regression - https://youtu.be/XS1fR3WJj4I
Data Science Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOmyh7hQ730evtLaz04LwSf
Statistics for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqMAGTXiPYBHXgBu9Da1qrOs


In this video we have covered -

00:00 - Introduction and understanding the problem statement and the data
03:39 - Train Test Split of the data
07:41 - Creating model object and doing the prediction
09:10 - Checking the accuracy score
10:33 - Creating interface with Linear Regression Model to predict the salary
13:05 - Predict for set of supplied inputs/data

scikit-learn documentation - https://scikit-learn.org/stable/

You can download the excel file used in the video, using -
Kaggle
URL - https://www.kaggle.com/code/codebreaker619/employee-salary-prediction-using-linear-regression/data
GitHub
File Name - Salary.xlsx
URL - https://github.com/LEARNEREA/Data_Science/tree/main/Data

You can download the script created in the video, using -
File Name - LinearRegression_Live.py
URL - https://github.com/LEARNEREA/Data_Science/tree/main/Scripts


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