Build and evaluate classification model using PySpark 3.0.1 library.

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

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

Student Performance Tracker

Binary Classification Models with pySpark in Apache Spark

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

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

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