Alternatives and similar repositories for Movie-recommendation-system-using-Bayesian-Network

Users that are interested in Movie-recommendation-system-using-Bayesian-Network are comparing it to the libraries listed below

• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆73Updated 8 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• kaz-Anova / Competitive_Dai
  The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…
  ☆19Updated 7 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• Charlio / anti-money-laundering
  ☆1Updated 7 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆76Updated 7 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 8 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆83Updated 7 years ago
• kevalmorabia97 / Pagerank-for-Information-Retrieval-in-Python
  Rank the pages in the corpus by considering the inlinks and outlinks. Also handling dead ends and spider traps. Topic Specific Page Rank …
  ☆10Updated 7 years ago
• hugopalmer / assortment_optimization
  Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…
  ☆19Updated 8 years ago
• chandan-u / graph-based-recommendation-system
  building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…
  ☆67Updated 8 years ago
• aviolante / sas-python-work
  ☆74Updated 5 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 3 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 6 years ago
• rosetta-ai / rosetta_recsys2019
  The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
  ☆59Updated 5 years ago
• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 8 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• sequenceanalysis / sequenceanalysis.github.io
  ☆46Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• naomifridman / Deep-VAE-prediction-of-churn-customer
  Variational deep autoencoder to predict churn customer
  ☆29Updated 7 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆62Updated 6 years ago