Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
- Updated
Nov 9, 2021 - HTML
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling
Predict donors using supervised learning, ensemble methods and data science
This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.
Implementation of Saliency-based Agreement Metric for Ensemble Learning
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
Capstone Project | Credit Card Detection | Supervised Learning
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