IBM / employee-attrition-aif360
Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.
☆43Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for employee-attrition-aif360
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆63Updated 4 years ago
- ☆26Updated 5 years ago
- ☆26Updated 3 years ago
- Data Science Portfolio☆71Updated 3 years ago
- ☆30Updated 5 months ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition☆71Updated 4 years ago
- introduction to text analytics in python training for odsc west 2018☆103Updated 6 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆51Updated 6 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆30Updated 5 years ago
- ☆75Updated 5 years ago
- Recommender System Repo☆33Updated 5 years ago
- The repository for the course in Udemy☆17Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- ☆57Updated 5 years ago
- pycaret-demo-dphi☆19Updated 3 years ago
- [Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)☆30Updated last year
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- Portfolio of course work for my Master's in Data Science.☆11Updated 4 years ago
- Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…☆36Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- ☆33Updated 6 years ago
- TPOT Sample☆27Updated 5 years ago
- ☆17Updated 5 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Analysis and Modeling of the UCI Facebook Metrics Dataset☆12Updated 6 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 5 years ago