nikadeap / Building-Propensity-ModelLinks
Customer churn Modelling
☆10Updated 6 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…☆739Updated last month
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆414Updated last year
- Getting start with PySpark and MLlib☆298Updated 7 years ago
- Code for the online course "Deployment of Machine Learning Models"☆855Updated 11 months ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- Code repository for the online course Feature Engineering for Machine Learning☆396Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆181Updated 8 months ago
- #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 3 years ago
- Telecom Customer Churn Analysis with Python☆15Updated 7 years ago
- AB Testing☆13Updated 6 years ago
- 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
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆595Updated 6 years ago
- A/B Testing — A complete guide to statistical testing☆173Updated 3 years ago
- Code repository for the online course Feature Selection for Machine Learning☆324Updated 9 months ago
- Notes on Apache Spark (pyspark)☆298Updated 6 years ago
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,586Updated 2 years ago
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆404Updated 5 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆599Updated 2 years ago
- This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…☆50Updated 8 years ago
- Data Science Feature Engineering and Selection Tutorials☆286Updated last month
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- ☆136Updated 6 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆25Updated 6 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆979Updated 2 years ago
- Customer Segmentation, RFM analysis and price elasticity☆19Updated 4 years ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆115Updated 6 years ago
- ☆232Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- ☆77Updated 6 years ago
- This repository of classification template using pyspark.☆18Updated 6 years ago