Alternatives and similar repositories for cookbook:

Users that are interested in cookbook are comparing it to the libraries listed below

• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆176Updated 2 months ago
• mervynlee94 / Advance-Machine-Learning
  ☆84Updated 7 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• alineberry / my-movie-recommender
  Personal movie recommender system and a research sandbox
  ☆55Updated 6 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆214Updated 5 years ago
• sahil711 / AV
  Contains solutions to AV competitions
  ☆21Updated last year
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated 2 years ago
• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 2 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 6 years ago
• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 8 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 8 years ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆168Updated 7 months ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆219Updated 8 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆132Updated 2 years ago
• aayushmnit / Competitions
  Codes written for some competitions
  ☆13Updated 8 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆173Updated 6 years ago
• abhishekkrthakur / mlframework
  ☆202Updated 9 months ago
• SudalaiRajkumar / NLP
  Generic codes related to NLP
  ☆84Updated 6 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 7 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 4 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 3 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆142Updated 8 months ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 6 years ago
• devforfu / pytorch_playground
  PyTorch experiments, demos and tutorials
  ☆61Updated 2 years ago