Demonstration of various topics related to machine learning data science such as:
- diverse machine learning models and optimizations
- classification and regression supervised tasks
- hyper-parameter tunings
- dealing with imbalanced datasets
- stacked models
- approximating mathematical function(s) using neural networks
- data science project(s)
- Apache Spark for Machine Learning - PySpark + MLlib