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archd3sai / Customer-Survival-Analysis-and-Churn-Prediction

Star 144

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

random-forest hazard flask-application data-analysis survival-analysis partial-dependence-plot explainable-ai customer-churn-prediction shap-values customer-survival-analysis
  • Updated Sep 30, 2022
  • Jupyter Notebook

haghish / shapley

Star 8

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

machine-learning machine-learning-algorithms feature-selection feature-extraction class-imbalance shapely feature-importance shap shapley-decomposition shapley-value shapley-values shap-values shapley-additive-explanations shap-analysis class-imbalance-problem shapleyvalue weighted-shapley weighted-shap weighted-shap-confidence-interval weighted-shapley-ci
  • Updated May 8, 2024
  • R

sachin17git / Malware-detection-ML

Star 3

Android malware detection using machine learning.

python machine-learning random-forest machine-learning-algorithms feature-selection logistic-regression bayesian-inference support-vector-machines bayesian-optimization multicollinearity k-nearest-neighbours malware-detection voting-classifier shapley-values xgboost-classifier shap-values shapley-additive-explanations catboost-classifier stacking-classifier
  • Updated Nov 23, 2022
  • Jupyter Notebook

kochlisGit / Wine-Preference-Analysis

Star 2

The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine production. A Neural Network was trained using Tensorflow, which was later tuned in order to achieve high-accuracy quality predictions.

python data-science machine-learning neural-network chemistry tensorflow scikit-learn keras hyperparameter-optimization data-analysis wine hyperparameter-tuning interpretability regression-analysis feature-importance optuna regression-model wine-analysis physicochemical-properties shap-values
  • Updated Jul 17, 2022
  • Jupyter Notebook

saminens / Women-in-Data-Science-2020

Star 2

WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.

correlation kaggle-competition hyperparameter-optimization lightgbm hyperopt feature-engineering mice hyperparameter-tuning shapely adversarial-learning wids adversarial-machine-learning feature-importance impute-algorithm kfold-cross-validation stratified-sampling label-encoding wids-datathon shap-values famcyimpute
  • Updated Mar 10, 2020
  • Jupyter Notebook

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