Data Science Full Course For Beginners | Python Data Science Tutorial | Data Science With Python In this machine learning tutorial with python, we will write python code to predict home prices using multivariate 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. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #LinearRegression #sklearntutorials #scikitlearntutorials Code: https://github.com/codebasics/py/blob... (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... 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