Aniket Sharma

Machine Learning Zoomcamp Update: Thursday, 16 September 2021

Today, I completed the Sessions 2.11, 2.12, 2.13, 2.14 and 2.15.

Session 2.11 - Feature engineering

This session explained basic concepts of feature engineering.

Key takeaways:

Session 2.12 - Categorical variables

This session explained One-hot encoding to use categorical features in the model.

Key takeaways:

Session 2.13 - Regularization

This session gave an introduction to regularization.

Key takeaways:

Session 2.14 - Tuning the model

This session introduced grid search for tuning the model.

Session 2.15 - Using the model

This session showed how to re-train the final model on training and validation set, test it using test set and make predictions using the model.

Estimated Time Taken: 30 minutes