Introduction to Machine Learning
  • Beginning with Machine Learning
  • Regression: Supervised Machine Learning
  • Classification: Supervised Machine Learning
  • Unsupervised Machine Learning
Simple Linear Regression
  • Fitting Straight Line for Simple Linear Regression
  • Cost Function for Simple Linear Regression
Beginning with Python
  • Python Libraries for Building ML Models
  • Performing Data Selection with Pandas
Implementing Simple Linear Regression
  • Install Anaconda and Spyder to Implement Simple Linear Regression
  • Dataset for Implementation of Simple Linear Regression
  • Step 1: Importing the Libraries and the Dataset
  • Step 2a: Train Test Split and Its Need for Implementation of SLR
  • Step 2b: Performing Train Test Split for Implementation of SLR
  • Step 3: Building the Model for Implementation of SLR
  • Step 4: Predicting the Values on Test Data for Implementation of SLR
  • Step 5: Visualization of Results for Implementation of SLR
  • Step 6: Evaluating the model using Regression metrics for Implementation of SLR