Machine Learning Life Cycle



  • Business Understanding 
  • Data Acquisition and Understanding(EDA) 
  • Feature Engineering 
  • Model Training 
  • Model Evaluation 
  • Deployment Model 
  • Tuning and Optimisation 
  • API or Standalone Application 
  • Business Application for Prediction

Summary


Happy Learning !!!