Projects in Awesome Lists tagged with spark-dataframes

A curated list of projects in awesome lists tagged with spark-dataframes .

- Recently synced
- Stars

https://github.com/mahmoudparsian/pyspark-tutorial

PySpark-Tutorial provides basic algorithms using PySpark

big-data big-data-analytics data-algorithms pyspark spark spark-dataframes spark-rdd

Last synced: 14 May 2025

https://github.com/26hzhang/stockprediction

Plain Stock Close-Price Prediction via Graves LSTM RNNs

deeplearning4j java lstm recurrent-neural-networks spark-dataframes stock-price-prediction

Last synced: 13 Apr 2025

https://github.com/mahmoudparsian/big-data-mapreduce-course

Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University

algorithms apache-hadoop apache-spark big-data data-algorithms data-analysis data-engineering data-partition data-transformation glossary mapreduce mapreduce-algorithm mapreduce-python monoid partitioning-algorithms pyspark pyspark-algorithms-book santa-clara-university spark-dataframes spark-rdd

Last synced: 12 Apr 2025

https://github.com/nashtech-labs/sparkathon

A library having Java and Scala examples for Spark 2.x

apache-spark java-8 knoldus rdd scala spark spark-dataframes spark-dataset spark-ml spark-mllib spark-sql spark-streaming spark-structured-streaming

Last synced: 31 Aug 2025

https://github.com/maxinexiong/item-based-collaborative-filtering

This project utilizes PySpark DataFrames and PySpark RDD to implement item-based collaborative filtering. By calculating cosine similarity scores or identifying movies with the highest number of shared viewers, the system recommends 10 similar movies for a given target movie that aligns users’ preferences.

apache-spark collaborative-filtering movie-recommendation pyspark python spark spark-dataframes spark-rdd

Last synced: 24 Aug 2025

https://github.com/smusab9152/pyspark_programs_and_projects

Collection of PySpark programs and projects demonstrating the use of Apache Spark's Python API for big data processing and analysis. It includes practical implementations such as logistic regression classification, data analysis on the Iris dataset, and basic PySpark operations like temperature conversion.

apache-spark big-data big-data-analytics data-engineering distributed-computing etl pyspark spark-dataframes spark-rdd spark-sql