Master Python's Multiple Variable Linear Regression for Home Price Prediction 🏡

In this machine learning tutorial with python, we will write python code to predict home prices using multiple variable linear regression in python (using sklearn linear_model). Home prices are dependent on 3 independent variables: area, bedrooms and age. Pandas dataframe is used to fill missing values first and then use that dataset to train a multivariate regression model.You can use exercise at the end to consolidate your understanding on whatever you have learnt in this machine learning tutorial.

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Code: https://github.com/codebasics/py/blob/master/ML/2_linear_reg_multivariate/2_linear_regression_multivariate.ipynb
(Exercise is at the end of the ipynb notebook so just open that file and read through)

Exercise solution: https://github.com/codebasics/py/blob/master/ML/2_linear_reg_multivariate/Exercise/exercise_answer.ipynb

Topics that are covered in this Machine Learning Video:
0:00 Linear Regression With Multiple Variables:
0:48 Data set
2:07 Linear Equation
3:28 Load Data in Pandas Data Frame
4:16 Data preeprocessing (Handle Missing Values)
6:17 Train Lemear Model
8:18 Predict home prices using trained model
11:35 Exercise to predict hired candidates salary based on few parameters

Topic Highlights:
1) Data Preprocessing Handle Missing Values
2) Linear Regression Using Multiple Variables
3) Train Lemear Model
4) Exercise to predict hired candidates salary based on few parameters

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Next Video:
Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function: https://www.youtube.com/watch?v=vsWrXfO3wWw&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=4

Very Simple Explanation Of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI

Populor Playlist:
Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV

Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg

Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy

matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl

Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1

Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8

To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.

Tools and Libraries:
Scikit learn tutorials
Sklearn tutorials
Machine learning with scikit learn tutorials
Machine learning with sklearn tutorials

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