Build and evaluate classification model using PySpark 3.0.1 library.

This notebook is my first attempt at using PySpark for EDA and Machine Learning models.

One of the important steps towards People based marketing which is essential for targeting audience

Binary Classification Models with pySpark in Apache Spark

Student Performance Tracker

Development of an AutoML System to Predict the Compressive Strength of Concrete

This is the material for Jose Portilla's Spark and Python for Big Data and ML course.

Comparing Logistic Regression and ML algorithms for predicting defaults on consumer loans.