Fundamentals of Spark with Python (using PySpark), code examples
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Updated
Oct 29, 2022 - Jupyter Notebook
Fundamentals of Spark with Python (using PySpark), code examples
Java Convolutional Neural Network example for Hand Writing Digit Recognition
MachineLearning examples using Spark MLIB and Databricks
Includes several examples of data manipulation techniques by using PySpark and machine learning algorithms using MLib
Sample code for pyspark
A nonstandard C library for MikeOS API.
Online Retail Recommender JAVA Application using implicit feedback with collaborating filter algorithm
Advertising click prediction with Spark and MLib
A Capstone Project implementing Big Data concepts using Apache Spark
Recommender System for large data sets using Tries
Self-service modeling analysis tool based on R language and big data. It integrates SparkR, Rserve, and Mlib machine learning libraries
Final Year Research project to recommend movies based on user behavioral data using the Big 5 personality model and user rating data. The model uses K-Means Clustering for Big 5 scores and 3 ALS models to recommend movies
Data Analytics pipeline using Apache Spark | Build multi-class classification models | Test the model using test data and compute accuracy of each method
There is a problem with high churn these days: basically, too many customers cancelling the service. It establishes that what is recommended for this problem is the use of PySpark, since the marketing team has a large volume of data about customers.
Spark and Python for Big Data with PySpark. Distributed Machine Learning
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