Alternatives and similar repositories for depy2016

Users that are interested in depy2016 are comparing it to the libraries listed below

• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• thegarrickchu / Springboard-Dog_Breed_Classifier
  Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds
  ☆12Updated 7 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 6 years ago
• Mooseburger1 / Springboard-Data-Science-Immersive
  ☆63Updated 6 years ago
• bhattbhavesh91 / GA_Sessions
  A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
  ☆30Updated 5 years ago
• raffg / air-passengers-arima
  ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
  ☆50Updated 6 years ago
• LahiruTjay / Machine-Learning-With-Python
  This repositories contain various Machine Learning examples done with Python.
  ☆32Updated 2 years ago
• raoqiyu / DSE230x
  Big Data Analytics using Spark
  ☆14Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 8 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 4 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 6 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆124Updated 8 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆99Updated 6 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆213Updated 6 years ago
• edyoda / machine-learning-using-pyspark
  Learn Machine Learning using PySpark from scratch
  ☆19Updated 6 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 6 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆35Updated 4 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 7 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆159Updated 2 years ago
• SThornewillvE / Udacity-DataScience-Nanodegree
  Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.
  ☆31Updated 5 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆122Updated 9 months ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago