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 3 months ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆412Updated 9 months ago
• mervynlee94 / Advance-Machine-Learning
  ☆84Updated 7 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
• alineberry / my-movie-recommender
  Personal movie recommender system and a research sandbox
  ☆55Updated 6 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated 2 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 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 8 months 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
  ☆81Updated 5 years ago
• amesar / mlflow-spark-summit-2019
  MLFlow Spark Summit 2019 Presentation
  ☆67Updated 5 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆147Updated 8 years ago
• abhishekkrthakur / mlframework
  ☆202Updated 10 months ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆134Updated last year
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆214Updated 5 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆95Updated 7 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆400Updated 4 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• makcedward / ds_project_template
  Data Science Project Template
  ☆139Updated 6 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆142Updated 9 months ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆579Updated last year
• marlesson / recsys_autoencoders
  This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
  ☆53Updated 5 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• sahil711 / AV
  Contains solutions to AV competitions
  ☆21Updated last year
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 6 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 5 years ago
• mnguyenngo / flask-rest-setup
  Notes on Flask REST API and tutorial
  ☆147Updated 6 years ago
• WillKoehrsen / kaggle-automated-feature-engineering
  Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition
  ☆19Updated 6 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago