#02 Linear Regression in Machine Learning | PyCSR | Learn Python Online with Pankaj Soni

In this video you are going to learn :
• What is Linear Regression
• Types of Linear Regression
• Mathematical Intuition behind Linear Regression
• What are important libraries to load
• Example for Simple Linear Regression
• Salary Data Set
• Line plot for Experience V/s Salary
• Scatter plot for Experience V/s Salary
• Converting Single dimension data to 2-Dimensional data
• Creating Train and Test data from raw data
• Creating an Object from LinearRegression Function
• Fitting data into LinearRegression object to have best fit line
• Predicting salary for given number of year of experience from test data
• Plotting Predicted Salary and Actual Value
• Plotting Regression line for Predicted Salary and Actual Value
• KDE plot for True Vs Predicted Values
• How to Evaluate Linear regression model
• Interview Questions
• Must know this:
• What is Residuals
• What is cost function
• what is bias and variance
• what is Under fitting model
• what is Over fitting model
• How to solve Under & Over fitting model
• What is Ridge Regression
• What is Lasso Regression

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