Visualizes the Random Forest debug string from the MLLib in Spark using D3.js
-
Updated
Sep 8, 2022 - Python
#
mllib
Here are 45 public repositories matching this topic...
spark (scala and python)
-
Updated
Dec 23, 2019 - Python
Implementation of Inferring Networks of Substitutable and Complementary Products Model paper
python json scala numpy pyspark mllib recommendation-system logistic-regression recommender-system lda latent-dirichlet-allocation graphx
-
Updated
Feb 21, 2019 - Python
Example from Spark MLLib (in python)
-
Updated
Dec 7, 2017 - Python
kaggle machine learning with spark
-
Updated
May 31, 2017 - Python
An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.
spark pyspark mllib recommendation-engine als cosine-similarity movie-recommendation product-recommendation
-
Updated
Jan 1, 2020 - Python
A movie recommendation system on MovieLens 25M dataset using Python and Apache Spark
python apache-spark random-forest pyspark mllib recommendation-system recommender-system rmse spark-sql spark-mllib-library alternating-least-squares hybrid-system item-item-filtering
-
Updated
Aug 7, 2024 - Python
Scalable Trust-Signal Detection: A Big Data pipeline using PySpark and GCP Dataproc to classify 8GB+ of Amazon reviews with high-precision Random Forest modeling. Engineered for horizontal scalability and verified data integrity
-
Updated
Feb 1, 2026 - Python
#MachineLearning project for predicting the house rent demonstrating MLOps
python data-science spark machine-learning-algorithms pyspark mllib machinelearning kaggle-dataset apache-airflow mlops
-
Updated
Oct 13, 2025 - Python
NYU Real Time Big Data Analysis Final Project
-
Updated
Apr 24, 2018 - Python
End-to-end customer churn prediction pipeline built with Apache Spark MLlib — featuring synthetic data generation, feature engineering, Chi-Square selection, and multi-model hyperparameter tuning with cross-validation.
data-science machine-learning apache-spark random-forest distributed-computing pyspark mllib churn-prediction mlops
-
Updated
Mar 29, 2026 - Python
CSCI-GA.3033-005 - Big Data Application Development
scala big-data spark feature-selection pyspark neural-networks mllib logistic-regression tableau feature-engineering spark-sql h2oai
-
Updated
Jul 6, 2022 - Python
Image Captioning with pretrained last layer of DCNN and RNN
-
Updated
Oct 18, 2018 - Python
📊 Predict and reduce customer churn with a production-ready machine learning pipeline, ensuring quick and accurate insights for better retention strategies.
python data-science machine-learning kafka pipeline random-forest telco scikit-learn pandas classification mllib matplotlib data-preprocessing flask-api data-cleaning churn-prediction mlops data-science-projects mlflow ml-pipeline
-
Updated
May 14, 2026 - Python
An automatic machine learning based customer segmentation model with RFM analysis at ICTA conference 2024
-
Updated
Mar 17, 2025 - Python
Improve this page
Add a description, image, and links to the mllib topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mllib topic, visit your repo's landing page and select "manage topics."