A data analytist solution designed to enhance credit risk assessment for financial institutions and businesses. This project leverages Apache Spark and modern data lake architecture.
Apache Spark Machine Learning project using MLlib and Linear Regression on Databricks!
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython /...
⏱ Real-Time Sentiment Analysis using PySpark and simulation of Twitter/X API using FastAPI
Robust credit risk model that go beyond traditional credit scoring methods in banks
Real-time financial data processing using Apache Kafka, Spark, MySQL, and Grafana, orchestrated w...
Project FraudCatch leverages AI to predict and prevent financial fraud in real-time. It uses Apac...
This repo contains implementations of PySpark for real-world use cases for batch data processing,...
Credit Risk analysis by using Python and ML