Alternatives and similar repositories for mining-massive-datasets

Users that are interested in mining-massive-datasets are comparing it to the libraries listed below

• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 6 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• edyoda / pyspark-tutorial
  PySpark Code for Hands-on Learners
  ☆117Updated 6 years ago
• lanttern / Recommender-System
  Coursera
  ☆12Updated 10 years ago
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆67Updated 7 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 3 years ago
• mohanakrishnavh / pyspark-tutorial
  ☆18Updated 3 months ago
• bonzanini / VideoCourse-DataScienceRecipes
  Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
  ☆34Updated 8 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆57Updated 7 years ago
• sparktraining / spark_using_python
  ☆45Updated 8 years ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆43Updated last year
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• PacktPublishing / Machine-Learning-with-Spark
  Create scalable machine learning applications to power a modern data-driven business using Spark
  ☆62Updated 3 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 3 years ago
• hanhanwu / Hanhan_Data_Science_Practice
  data analysis, big data development, cloud, and any other cool things!
  ☆31Updated last year
• JessieRayeBauer / Time-Series-Forecasting-
  Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
  ☆24Updated 7 years ago
• lamastex / scalable-data-science
  Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational f…
  ☆168Updated 5 months ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆171Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 8 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆142Updated 3 years ago
• chandu-muthyala / Data-Engineer-Nano-Degree
  Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.
  ☆13Updated 6 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆26Updated 7 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆71Updated 3 years ago
• parrt / msds689
  Course syllabus, notes, projects for USF's MSDS689
  ☆62Updated last year
• robert-alvarez / pytorch_tutorial
  ☆31Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆138Updated 5 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 8 years ago