Episode Synopsis "Roadmap for machine learning project from scratch | Steps in ML "
In this episode i will be talking about steps involved in making of machine learning project from scratch. How its made? Libraries like pandas numpy tensorflow scikit learn the steps in ml are : 1. Data collection and storage 2. Data munging 3. Dimensionality reduction and feature engineering 4. Analysis of data 5. Dividing traing/test data 6. Training the data 7. Testing data 8. Min8mising error and overfitting and underfitting concepts.