Alternatives and similar repositories for Employee-Churn-Predictive-Model

Users that are interested in Employee-Churn-Predictive-Model are comparing it to the libraries listed below

• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆135Updated 7 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 5 years ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆36Updated 5 years ago
• randylaosat / Predicting-Employee-Turnover-Complete-Guide-Analysis
  Understand why employees leave a company and apply various machine learning models to predict the next leaver!
  ☆53Updated 7 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 6 years ago
• TrainingByPackt / Data-Wrangling-with-Python
  Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
  ☆130Updated 3 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆48Updated 7 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆73Updated 4 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆416Updated last year
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• suneelpatel / Statistics-for-Data-Science-using-Python
  Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…
  ☆44Updated 6 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆250Updated 4 months ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• joaolcorreia / RFM-analysis
  Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
  ☆278Updated 5 years ago
• renatofillinich / ab_test_guide_in_python
  ☆99Updated 3 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• Jcharis / DataScienceTools
  Useful Data Science and Machine Learning Tools,Libraries and Packages
  ☆235Updated 9 months ago
• Mooseburger1 / Springboard-Data-Science-Immersive
  ☆63Updated 7 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆138Updated 2 years ago
• pycaret / deployment-heroku
  Deployment Heroku
  ☆57Updated last year
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆61Updated 7 years ago
• optiflow / rfm-customer-segmentation
  Unsupervised Clustering on Online Retail Dataset
  ☆32Updated 2 months ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• lksfr / credit_card_fraud
  This repository includes the code used in my corresponding Medium post.
  ☆91Updated 6 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 8 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago