GitHub - KhyaatiNayak/Multiple-Linear-Regression-Model-on-Car-prices: This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made about the data before we started building the model. Lastly predicted the car prices and evaluated our model based on its performance in both in and out sample testing. This was done using Python.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
CarPrice_Assignment.csv		CarPrice_Assignment.csv
CodeFinal.ipynb		CodeFinal.ipynb
Data Dictionary - carprices.xlsx		Data Dictionary - carprices.xlsx
SM1 project.pdf		SM1 project.pdf

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This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made abo…

python data-visualization data-analysis regression-models data-cleaning recursive-feature-elimination assumption-testing