Скачать или смотреть Day 12 | Linear Regression on Autos Dataset | End-to-End Car Price Prediction in Python

In this video, we implement Linear Regression on the Autos Dataset to build a complete Car Price Prediction Machine Learning Project in Python.

You will learn:

✔️ Data preprocessing and handling missing values
✔️ Encoding categorical features
✔️ Feature selection and correlation analysis
✔️ Splitting dataset into training and testing sets
✔️ Training Linear Regression model
✔️ Model evaluation using MSE, MAE, RMSE, and R² Score
✔️ Predicting car prices with new input data

This tutorial is perfect for beginners and intermediate learners who want to understand how to implement a real-world Machine Learning project using Linear Regression.

Tools & Libraries Used:
Python
Pandas
NumPy
Matplotlib / Seaborn
Scikit-learn

📌 Ideal for:
Machine Learning Beginners
Data Science Students
Engineering Students
Final Year Projects

If you are preparing for ML interviews or building your portfolio, this project will help you understand the complete implementation workflow.

Git-hub link for dataset : https://github.com/DataLearnm/Dataset...