An implementation of K-means algorithm using Spark MLlib and Scala

Solving Kaggle Titanic with Pyspark libraries

Training with Spark MLlib and Spark ML

Python-SparkMLib-ALS Project

Spark in Action

Big Data Analytics Project using Apache Spark for Predicting Severity of Car Accidents in the USA

Intra-course Homeworks and final homework for Big Data Engineering course. Include KPMG Hackaton 'University Trends' documentation

for learning apache spark and mlib library

User, Event, and Predictive Metric Dashboard on 2GB/month of log files from Brackets IDE

An easy to use Snowflake-based text clustering or LLM, tool/framework

Predicting the Song Download number, given Artist name and Title of the Song

EverAnalyzer is my thesis in the Department of Digital Systems of the University of Piraeus. EverAnalyzer is a platform for collecting, preprocessing, processing and analyzing Big Data from the Twitter platform.

Developing a basic protoype of distributed computing engine for processing of EEG data

SparkMLlibDeepLearn scala source algorithm analysis

Created a SparkML RandomForest model to predict total employee compensation. Queried data with SparkSQL, ran PySpark scripts to run EDA, pre-process data, and train model achieving with 0.98 R2 score.

This is a repository i have created to put up some of the knowledge i have gained around Big Data Technologies especially Spark, GraphX etc.

SparkMLib ALS(Writed by Scala&Java) used in commodity recommendation system