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auc-roc-curve

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✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

  • Updated Sep 1, 2021
  • Jupyter Notebook
Home-Credit-Default-Risk-Recognition

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

  • Updated Jul 1, 2020
  • Jupyter Notebook
Anomaly-detection_classification-logistic-regression-modelling

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

  • Updated Dec 16, 2022
  • Jupyter Notebook
ml-predictive-maintenance

This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.

  • Updated May 2, 2024
  • Jupyter Notebook

Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.

  • Updated May 18, 2023
  • Jupyter Notebook

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