Alternatives and similar repositories for udacity-ml-nanodegree

Users that are interested in udacity-ml-nanodegree are comparing it to the libraries listed below

• dnkirill / allstate_capstone
  Allstate Kaggle Competition ML Capstone Project
  ☆81Updated 8 years ago
• bendyna / tinkoff-challenge-2
  ☆23Updated 8 years ago
• diefimov / MTH594_MachineLearning
  The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
  ☆384Updated 8 years ago
• yandexdataschool / YSDA_deeplearning17
  Yandex SDA classes on deep learning. Version of year 2017
  ☆118Updated 8 years ago
• aguschin / kaggle
  some useful code for kaggle competitions :)
  ☆17Updated 10 years ago
• yassineAlouini / kaggle-tools
  Some tools that I often find myself using in Kaggle challenges.
  ☆31Updated 4 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• uberwach / kaggle-berlin
  Material of the Kaggle Berlin meetup group!
  ☆35Updated 7 years ago
• gereleth / kaggle-telstra
  My code for Telstra Network Disruptions Kaggle competition
  ☆74Updated 8 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• mephistopheies / mlworkshop39_042017
  MeetAI - machine learning workshop
  ☆56Updated 8 years ago
• alexeygrigorev / datascience-recruitment-challenges
  Home assignments for data science positions
  ☆154Updated 3 years ago
• rouseguy / DeepLearning-Image
  Introduction to Deep Learning for Image Recognition
  ☆152Updated 9 years ago
• vopani / AnalyticsVidhya_SmartRecruit
  The Smart Recruit hackathon on AnalyticsVidhya
  ☆17Updated 9 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆228Updated 6 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• Dyakonov / notebooks
  my notebooks
  ☆39Updated 3 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 9 years ago
• ternaus / kaggle_allstate
  Repository with files somehow relevant to the Kaggle competition https://www.kaggle.com/c/allstate-claims-severity
  ☆28Updated 8 years ago
• Danila89 / kaggle_mercedes
  The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
  ☆54Updated 7 years ago
• open-data-science / awesome
  Cherry picked DS educational materials
  ☆80Updated 8 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• analyticsvidhya / knocktober-2016
  Codes related to Knocktober 2016
  ☆23Updated 8 years ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆117Updated 3 years ago
• open-data-science / datascience-swiss-knife
  Set of common tools and techniques for everyday data science tasks with examples
  ☆58Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 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
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆286Updated 7 years ago
• kaz-Anova / ensemble_amazon
  Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle c…
  ☆225Updated 9 years ago