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Build a Multiple Linear Regression Model in Python

📊 Multiple Linear Regression Tutorial (Python + Sklearn + Visualization)
In this video, you'll learn how to build and interpret a Multiple Linear Regression model from scratch using Python. We’ll walk through the full process—data loading, preprocessing, training the model, evaluating performance, and visualizing results. Whether you're a beginner in machine learning or a data science enthusiast, this tutorial will give you the confidence to use multiple regression in real-world projects.

🔍 What You’ll Learn:
What is Multiple Linear Regression?

When and why to use it

How to implement it using Scikit-learn

Evaluating model performance (R², MAE, MSE)

Plotting predictions vs actual values

Common mistakes & how to avoid them

🛠️ Tools Used:
Python

Pandas

NumPy

Scikit-learn

Matplotlib / Seaborn

🎯 Perfect for beginners in:

Machine Learning

Data Science

Python Programming

Видео Build a Multiple Linear Regression Model in Python канала Nasir Hussain
Яндекс.Метрика

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