Machine Learning Guide
Steps
Data Exploration
Data Properties and Data Visualization
- data analysis to get a feeling for the dataset
- check the missing data
- learn which features are important
Data Preprocessing
- compute missing values
- convert features into numeric ones
- group values into categories
- create a few new features
Train a Model
- train somen model
- pick the best one and apply cross validation on it
- opimize hyperparameter values
- assessment