Steps in making ML model

  • Problem Defination
  • Data colllection
  • EDA
  • Data Preprocessing/Cleaning
  • Feature selection and Engineering
  • Split the dataset
  • Model Selection
  • Model Training
  • Model Evaluation
  • Hyper Parameter Tuning
  • Model Training and Validation