This meetup we cover fundamental concepts in machine learning including:
- Exploratory Data Analysis - gather insights about the dataset
- Feature Engineering - use insights and domain expertise to create features
- Model Selection - use cross-validation and bagging to determine which model/features to use
The code for this meetup can be found here.
Click on the figure below to view the slides for this meetup.
