DavidHason / Causal_Analysis
Causal Analysis of Customer Churn using DeepLearning
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Causal_Analysis
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆10Updated 9 months ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆28Updated 3 years ago
- Code repository for the online course Machine Learning with Imbalanced Data☆161Updated 2 months ago
- Code repository for the book feature selection in machine learning☆24Updated 6 months ago
- References to the Medium articles☆85Updated 2 years ago
- Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)☆13Updated 2 years ago
- ☆24Updated last year
- 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…☆134Updated last year
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆15Updated last year
- Online Convex Optimization algorithms in Python☆10Updated 2 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆57Updated 3 weeks ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- ☆39Updated 2 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆55Updated 4 years ago
- Code repository for the online course Feature Selection for Machine Learning☆300Updated last week
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆20Updated 2 years ago
- Feature engineering package with sklearn like functionality☆50Updated 2 months ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆172Updated 11 months ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆14Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆57Updated last year
- Machine Learning models using a Bayesian approach and often PyMC3☆24Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆237Updated last year
- ☆21Updated 3 weeks ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 3 years ago
- ☆39Updated 2 years ago
- Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"☆31Updated last year
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated 8 months ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆12Updated 9 months ago