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

• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆31Updated 7 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 3 years ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆18Updated last year
• AdaptiveMachineLearning / artml
  ARTML- Real time learning
  ☆20Updated 5 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• susanli2016 / TensorFlow-2.0-Keras
  TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.
  ☆15Updated 5 years ago
• MathiasKraus / MarketBasket
  Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
  ☆19Updated 5 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 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 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 3 years ago
• joosthub / pytorch-nlp-tutorial-ny2019
  Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)
  ☆11Updated 5 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆26Updated 5 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 7 years ago
• naomifridman / Deep-VAE-prediction-of-churn-customer
  Variational deep autoencoder to predict churn customer
  ☆28Updated 6 years ago
• tlatkowski / neural-recommender
  Neural recommender system implementation in TensorFlow.
  ☆16Updated last year
• abhishekkrthakur / autonlp
  AutoNLP: AutoML for NLP (WIP)
  ☆13Updated 7 months ago
• lightsalsa251 / Movie-Recommender-System
  ☆17Updated 6 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 5 years ago
• dingjingtao / View_enhanced_ALS
  The implementation of VALS
  ☆10Updated 6 years ago
• Abhishekmamidi123 / Natural-Language-Processing
  Language Modelling, CMI vs Perplexity
  ☆11Updated 6 years ago
• husnejahan / Multi-armed-bandits-for-dynamic-movie-recommendations
  Multi-armed bandits for dynamic movie recommendations
  ☆14Updated 5 years ago
• deeppavlov / NLPCourseBot
  Telegram-bot for NLP/RL courses
  ☆11Updated 2 years ago
• PacktPublishing / Ensemble-Machine-Learning
  Code repository for Ensemble Machine Learning, published by Packt
  ☆47Updated 4 years ago
• zaburo-ch / kaggle-rrv-25th
  Recruit Restaurant Visitor Forecasting 25th place solution
  ☆12Updated 6 years ago