Alternatives and similar repositories for apriori-python:

Users that are interested in apriori-python are comparing it to the libraries listed below

• ndrini / AHP
  Python analytic hierarchy process
  ☆24Updated last year
• rnowling / rec-sys-experiments
  Some experiments with recommendation systems
  ☆28Updated 6 years ago
• asaini / Apriori
  Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
  ☆773Updated 2 years ago
• arifqodari / ExpediaLearningToRank
  Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition
  ☆45Updated 9 years ago
• enaeseth / python-fp-growth
  An implementation of the FP-growth algorithm in pure Python.
  ☆368Updated 2 years ago
• python-recsys / recsys-tutorial
  Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab
  ☆44Updated 11 years ago
• palevas / santander-product-recommendation-8th-place
  ☆46Updated 8 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 6 years ago
• bradleypallen / keras-movielens-cf
  A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
  ☆82Updated 8 years ago
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆126Updated 7 years ago
• abtpst / Doc2Vec
  Doc2Vec algorithm for solving moview review sentiment analysis
  ☆25Updated 9 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 10 years ago
• vaclavcadek / keras2pmml
  Simple PMML exporter for Keras Deep Learning models.
  ☆32Updated 6 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 8 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 7 years ago
• evandempsey / fp-growth
  Python implementation of the Frequent Pattern Growth algorithm
  ☆137Updated 2 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆130Updated 10 years ago
• hhchen1105 / networkx_addon
  Some add-on modules to networkx library
  ☆78Updated 4 years ago
• wangz10 / tensorflow-playground
  Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs
  ☆80Updated 5 years ago
• biolab / orange3-associate
  🍊 Frequent itemsets and association rules mining for Orange 3.
  ☆65Updated 5 months ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆98Updated 10 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 10 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• tks0123456789 / XGBoost_vs_LightGBM
  Comparison of XGBoost and LightGBM (speed, accuracy and complexity)
  ☆21Updated 6 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆30Updated 6 years ago
• magsol / pyspark-lsh
  Locality-sensitive hashing in PySpark.
  ☆27Updated 9 years ago
• Densur / PyWoE
  ☆59Updated 5 years ago