Project 1: Improving a models performance without changing the model#
This project focuses on teaching the skills used to improve the performance of a model such as data cleanup and preprocessing, feature extraction and transformation, and hyperparameter tuning.
Skills to gain:
Data pre-processing (clean-up, normalization, data categorisation, handling missing values)
Feature engineering and feature impact analysis
Hyperparameter tuning
Cross-validation techniques
Data Set: Data_Set
Notebook: Notebook