In this repository I have attached the screenshots of machine learning concepts I explored.
# //Steps in Python program to implement linear models to approximate the given data which I have shared output in the repository
//1. Import the necessary libraries
//2. Load the dataset
//3.Extract dependent and independent variable from the dataset
//4. Construct training and test dataset
//5. Fit the simple linear regression to training set
//6. Predict the test set result
//7. Visualize the training set result
//8. Visualize the test set result