nikadeap / Building-Propensity-ModelLinks
Customer churn Modelling
☆10Updated 7 years ago
Alternatives and similar repositories for Building-Propensity-Model
Users that are interested in Building-Propensity-Model are comparing it to the libraries listed below
Sorting:
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆770Updated 7 months ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆601Updated 7 years ago
- Code repository for the online course Feature Engineering for Machine Learning☆409Updated 2 years ago
- Telecom Customer Churn Analysis with Python☆15Updated 8 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- INSAIDINSTRUCTIONS:You are required to come up with the solution of the given business case.Business Context:This case requires trainees …☆10Updated 3 years ago
- Code for the online course "Deployment of Machine Learning Models"☆885Updated last year
- Customer Segmentation, RFM analysis and price elasticity☆19Updated 5 years ago
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆364Updated 5 years ago
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆405Updated 5 years ago
- This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…☆52Updated 9 years ago
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,633Updated 3 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,483Updated 5 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆24Updated 7 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- ☆136Updated 7 years ago
- Code repository for the online course Feature Selection for Machine Learning☆342Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆186Updated last year
- #A/B testing: A step-by-step guide in Python This is a walkthrough of how to design and analyse an A/B test using Python.☆16Updated 4 years ago
- Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio☆42Updated 6 years ago
- A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart…☆1,417Updated 2 years ago
- testing scikit-learn Isolation Forest☆77Updated 7 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆988Updated 3 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆812Updated 6 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆608Updated 2 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆159Updated 3 years ago
- A/B Testing — A complete guide to statistical testing☆178Updated 3 years ago
- Notes on Apache Spark (pyspark)☆297Updated 6 years ago