Alternatives and similar repositories for Graph-Thinking

Users that are interested in Graph-Thinking are comparing it to the libraries listed below

• MiyainNYC / Google-Apps-Text-Mining
  Web Crawl(Scrapy), Text Mining(NLTK) Data Mining(Sklearn) Visualization(Python, Tableau). Classification and Clustering on Google App tex…
  ☆16Updated 9 years ago
• MiyainNYC / Distributed-Machine-Learning
  PySpark, Databrick, h2o, MLlib
  ☆18Updated 8 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• tmkilian / GA_capstone-Housing_prices
  My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…
  ☆31Updated 6 years ago
• parulsethi / Information-extraction-tutorial
  Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.
  ☆19Updated 6 years ago
• gumption / pydata-simpsons
  Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas
  ☆15Updated 7 years ago
• dselivanov / word_embeddings
  Experiments on english wikipedia. GloVe and word2vec.
  ☆13Updated 9 years ago
• Mythili7 / Game-Theory
  ☆10Updated 4 years ago
• sureshgorakala / Text-Mining
  Classifying documents into categories
  ☆18Updated 7 years ago
• snap-stanford / MetroMaps
  MetroMaps Release
  ☆16Updated 11 years ago
• oreillymedia / Data_Analytics_with_Hadoop
  ☆16Updated 7 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• WinVector / kcomp
  Demonstration of parametric bootstrap to find k for kmeans
  ☆10Updated 5 years ago
• open-risk / correlationMatrix
  correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations
  ☆14Updated 6 months ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 8 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• bmabey / hacker_news_topic_modelling
  Topic models (just LDA for now) on the Hacker News corpus
  ☆22Updated 9 years ago
• shestakoff / social_ntwks
  Repository with teaching materials for "Structural Analysis and Visualization of Networks" class
  ☆10Updated 10 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• ndrini / AHP
  Python analytic hierarchy process
  ☆23Updated last year
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 5 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago