Alternatives and similar repositories for Decision-Trees-For-Knowledge-Discovery:

Users that are interested in Decision-Trees-For-Knowledge-Discovery are comparing it to the libraries listed below

• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• peterwilliams97 / nlp-class
  Notes from Stanford NLP class
  ☆24Updated 11 years ago
• srlearn / rnlp
  Relational NLP: Convert text into relational facts.
  ☆9Updated 5 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• masinoa / probability
  Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
  ☆26Updated 2 years ago
• rohan-varma / paper-analysis
  Analysis & Implementation of deep learning papers
  ☆11Updated 7 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• lukasvermeer / bootstrapbandits
  Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009
  ☆11Updated 10 years ago
• ajmazurie / xstats.MINE
  Python wrapper for the Java-based Maximal Information-based Nonparametric Exploration (MINE) statistics library
  ☆19Updated 12 years ago
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆42Updated 8 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 9 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
• CarsonScott / Online-Relationship-Learning
  Unsupervised ML algorithm for predictive modeling and time-series analysis
  ☆38Updated 4 years ago
• uclnlp / stat-nlp-course
  Code for the UCL Statistical NLP course
  ☆11Updated 10 years ago
• oreillymedia / Data_Analytics_with_Hadoop
  ☆14Updated 6 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
• Throne-AI / peyton
  An API wrapper for Throne.AI
  ☆12Updated 7 years ago
• tdunning / probability-book
  A copy of the source for Grinstead and Snell's lovely probability book
  ☆14Updated 9 years ago
• logicalguess / tf-idf-spark-and-python
  TF-IDF with Spark for the Kaggle popcorn competition
  ☆10Updated 9 years ago
• MKLab-ITI / topic-detection
  Provides the implementation of a topic detection framework developed for the MULTISENSOR project.
  ☆9Updated 8 years ago
• matroid / matroid-python
  Python bindings for Matroid API
  ☆16Updated 3 weeks ago
• bdewilde / pygotham_2016
  code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"
  ☆15Updated 8 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 7 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• dselivanov / word_embeddings
  Experiments on english wikipedia. GloVe and word2vec.
  ☆13Updated 9 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• Jverma / TextGraphics
  Graphical techniques for text mining.
  ☆19Updated 9 years ago