Alternatives and similar repositories for DSE230_Data_Analysis_Using_Hadoop_and_Spark_UCSD

Users that are interested in DSE230_Data_Analysis_Using_Hadoop_and_Spark_UCSD are comparing it to the libraries listed below

• mGalarnyk / DSE200_Python_for_Data_Analysis
  Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
  ☆100Updated 9 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 8 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated last year
• mGalarnyk / DSE220_Machine_Learning
  Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practic…
  ☆52Updated 7 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆62Updated 10 years ago
• OrysyaStus / UCSD_Data_Science_and_Engineering
  In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…
  ☆28Updated 7 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆235Updated 2 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• dipanjanS / BerkeleyX-CS100.1x-Big-Data-with-Apache-Spark
  This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apach…
  ☆116Updated last year
• davidventuri / udacity-dand
  Projects for my Udacity Data Analyst Nanodegree
  ☆103Updated 4 years ago
• PacktPublishing / Hands-On-Data-Science-and-Python-Machine-Learning
  Hands-On Data Science and Python Machine Learning, published by Packt
  ☆143Updated 2 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 4 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• jmportilla / Udemy---Machine-Learning
  Notebooks for Course
  ☆244Updated 9 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• NikTRSK / Data-Science-and-Machine-Learning-with-Python---Hands-On
  Data Science and Machine Learning with Python - Hands On from Udemy
  ☆14Updated 8 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated 2 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 8 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• cs109 / 2015lab1
  ☆212Updated 4 years ago
• nicodv / pyspark-tutorial
  A short tutorial notebook on PySpark
  ☆15Updated 9 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• PacktPublishing / PythonDataAnalysisCookbook
  Python Data Analysis Cookbook, published by Packt
  ☆130Updated 4 years ago
• ofermend / practical-data-science-with-hadoop-and-spark
  ☆26Updated last year
• jmportilla / data-science-blogs
  A curated list of data science blogs
  ☆22Updated 9 years ago