Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
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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Chapters (8)
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
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