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
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆600Updated 7 years ago
- Code repository for the online course Feature Engineering for Machine Learning☆409Updated 2 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆24Updated 7 years ago
- Code repository for the online course Feature Selection for Machine Learning☆342Updated last year
- Code for the online course "Deployment of Machine Learning Models"☆886Updated last year
- ☆136Updated 7 years ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆139Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆186Updated 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
- Data Science Feature Engineering and Selection Tutorials☆290Updated 3 weeks ago
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,631Updated 3 years 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 4 years ago
- A/B Testing — A complete guide to statistical testing☆178Updated 3 years ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆117Updated 6 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆608Updated 2 years ago
- Customer Segmentation, RFM analysis and price elasticity☆19Updated 5 years ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆639Updated 2 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
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆405Updated 5 years ago
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆364Updated 5 years ago
- Notes on Apache Spark (pyspark)☆297Updated 6 years ago
- Code base for the Learning PySpark book (in preparation)☆628Updated 6 years ago
- ☆99Updated 3 years ago
- Code snippets and tutorials for working with social science data in PySpark☆420Updated 8 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆988Updated 3 years ago