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

• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 6 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 7 years ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆36Updated 4 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆46Updated 4 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆72Updated 4 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!
  ☆52Updated 6 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆66Updated 4 years ago
• 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
  ☆58Updated 6 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆69Updated 4 years ago
• 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 …
  ☆133Updated 6 years ago
• awesomeahi95 / Hotel_Review_NLP
  NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.
  ☆9Updated 7 months 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.
  ☆45Updated 6 years ago
• pycaret / deployment-heroku
  Deployment Heroku
  ☆56Updated 9 months ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• datacamp / Market-Basket-Analysis-in-python-live-training
  Live Training: Market Basket Analysis in Python
  ☆45Updated 4 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 9 months ago
• karamanbk / Machine-Learning-A-Z
  ☆14Updated 7 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆137Updated 3 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 3 years ago
• rmpbastos / data_science
  Data Science portfolio
  ☆26Updated 3 months ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆28Updated 5 years ago
• siddharth271101 / K-means-clustering-using-RFM-variables
  Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm
  ☆10Updated 5 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…
  ☆43Updated 5 years ago
• SuperJohn / spark-and-python-for-big-data-with-pyspark
  Course on Udemy by Jose Portilla
  ☆99Updated 7 years ago
• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆72Updated 5 years ago
• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆41Updated 4 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• IBM / employee-attrition-aif360
  Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to bu…
  ☆46Updated 5 years ago