Alternatives and similar repositories for awesome-ipython-notebooks

Users that are interested in awesome-ipython-notebooks are comparing it to the libraries listed below

• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 8 years ago
• madhusudancs / sentiment-analyzer
  Tweets Sentiment Analyzer
  ☆52Updated 13 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• DistrictDataLabs / science-bookclub
  Generating the next read for our book club- with Data Science!
  ☆39Updated 10 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆94Updated 8 years ago
• explosion / talks
  💥 Browser-based slides or PDFs of our talks and presentations
  ☆94Updated 7 years ago
• cs109 / 2015lab8
  AWS, Vagrant, and Spark
  ☆21Updated 10 years ago
• kickback / time_series_with_python
  ☆11Updated 9 years ago
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated 3 years ago
• turi-code / sample-movie-recommender
  Sample for building a movie recommender with GraphLab Create.
  ☆37Updated 9 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• DistrictDataLabs / machine-learning
  Code & Data for Introduction to Machine Learning with Scikit-Learn
  ☆81Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆33Updated 7 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• tdpetrou / Data-Science-in-Two-Minutes
  Quick descriptions and answers of common data science tasks and questions
  ☆25Updated 9 years ago
• DistrictDataLabs / intro-to-nltk
  Code and Notebooks for the Natural Language Processing with Python course.
  ☆64Updated 8 years ago
• brohrer / publications
  Posts, presentations and papers I've written.
  ☆39Updated 5 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 10 years ago
• llSourcell / How_to_Simplify_Your_Data-LIVE-
  How_to_Simplify_Your_Data(LIVE)
  ☆13Updated 8 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 10 years ago
• piskvorky / data_science_python
  Source code for the "Practical Data Science in Python" tutorial
  ☆58Updated 10 years ago
• realpython / twitter-sentiment-elasticsearch
  Let's perform Twitter sentiment analysis using Python, Docker, Elasticsearch, and Kibana!
  ☆138Updated 5 years ago
• jay-johnson / sci-pype
  A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, trainin…
  ☆100Updated 3 years ago
• davidgasquez / kaggle-airbnb
  Where will a new guest book their first travel experience?
  ☆53Updated 8 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• cambridgecoding / machinelearningintro
  boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python
  ☆16Updated 7 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 9 years ago
• yhat / yhat-client
  Python client for ScienceOps
  ☆29Updated 6 years ago
• ContinuumIO / pydata-apps
  Building Python Data Application Tutorials
  ☆24Updated last year
• codelucas / cracking-the-da-vinci-code-with-google-interview-problems-and-nlp-in-python
  A guide on how to crack combinatorics puzzles shown in The Da Vinci Code movie using CS fundamentals and NLP
  ☆83Updated 8 years ago