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

Data Driven Sentiment Insight into Twitter(X) Trends | Kafka | Spark | Spark MLlib | Docker

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.

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

Work in-progress NBA Game Predictor using Spark

Solving Kaggle Titanic with Pyspark libraries

Scala Library for extracting useful information from trained Spark Model (DecisionTreeClassificationModel)

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

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.

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

使用SpringBoot & ElasticSearch 及ELK组件 & Spark ML Lib构建一个仿大众点评的千人千面推荐系统（不是

Python-SparkMLib-ALS Project

Spark in Action

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

SparkMLlibDeepLearn scala source algorithm analysis

Introduction to Apache Spark.

Big Data Project - SSML - Spark Streaming for Machine Learning

Utilized SparkML and Scikit-Learn train several machine learning models for distinguishing fraudulent and legitimate transactions. The machine learning models are then utilized to make predictions on Kafka-generated real-time data streams. Built an interface for displaying these predictions in real-time using the Streamlit framework.

Introductory Big Data concepts using Spark framework and different libraries

A collection of “cookbook-style” scripts for simplifying data engineering and machine learning in Apache Spark.