In this workshop we went through the entire machine learning/data analytics workflow.
- Data Acquisition (Kaggle)
- Data Cleaning + Encoding
- Exploratory Data Analysis + Data Transformations
- Logistic Regression Model
- Random Forest Model
- Metrics
- Hyperparameter Optimisation
- Feature Importance
DataSoc's Education Portfolio will have more workshops like this coming up, so stay tuned!
Credits:
- Will, Matt, Noah: Co-Directors + Exec
- Arya, Meet, Faris, Joceline: Jupyter Notebook Code