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deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification

Star 68

✋🏼🛑 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

dice machine-learning deep-neural-networks computer-vision cross-validation image-processing threshold healthcare classification recall segmentation convolutional-neural-networks confusion-matrix iou image-enhancement unet-image-segmentation cyclical-learning-rates auc-roc-curve coronavirus covid-19
  • Updated Sep 1, 2021
  • Jupyter Notebook
Home-Credit-Default-Risk-Recognition

abhishekdbihani / Home-Credit-Default-Risk-Recognition

Star 18

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.

scikit-learn feature-selection xgboost hyperparameter-optimization lightgbm hyperopt feature-engineering bayesian-optimization hyperparameter-tuning binary-classification imbalanced-data automl loan-default-prediction udacity-machine-learning-nanodegree f1-score automated-feature-engineering featuretools auc-roc-curve auc-roc-score k-fold-cross-validation
  • Updated Jul 1, 2020
  • Jupyter Notebook

nive927 / Flight_Delay_Prediction

Star 17

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

machine-learning data-visualization feature-selection performance-metrics feature-extraction forecasts pipelining flights airports data-cleaning smote correlation-coefficient pre-processing auc-roc-curve imbalanced-classes two-stage feature-ranking flight-delay-prediction smote-oversampler random-under-sampling
  • Updated Jan 10, 2024
  • Jupyter Notebook
Anomaly-detection_classification-logistic-regression-modelling

xfzhang-zoey / Anomaly-detection_classification-logistic-regression-modelling

Star 2

Détecter les faux billets à partir du jeu de données englobant statistiques sur 6 caracthéristiques des billets

dataviz performance-metrics supervised-learning pca logistic-regression regression-testing k-means regression-models principal-component-analysis kmeans-clustering binary-classification model-evaluation hierarchical-clustering classification-algorithm supervised-machine-learning model-training classification-model algorithm-training auc-roc-curve supervised-classification
  • Updated Feb 17, 2022
  • Jupyter Notebook

ksharma67 / Heart-Failure-Prediction

Star 2

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.

python random-forest numpy svm sklearn eda pandas seaborn xgboost lightgbm logistic-regression decision-trees lime eli5 gridsearchcv auc-roc-curve shap auc-roc-score skit-learn
  • Updated Dec 16, 2022
  • Jupyter Notebook
ml-predictive-maintenance

riccardoprosdocimi / ml-predictive-maintenance

Star 1

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.

machine-learning deep-learning pytorch lstm gru rnn artificial-neural-networks logistic-regression mlp data-preprocessing feature-engineering hyperparameter-tuning model-evaluation classifiers predictive-maintenance failure-prediction sequential-models precision-recall auc-roc-curve industrial-machinery
  • Updated May 2, 2024
  • Jupyter Notebook

peijin0405 / Machine-Learning-Analysis-of-International-Student-Mobility

Star 1

This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.

data-science machine-learning sql random-forest linear-regression data-visualization naive-bayes-classifier decision-tree-classifier kneighborsclassifier partial-dependence-plot push-pull auc-roc-curve permutation-importance ice-plot
  • Updated Mar 1, 2024
  • HTML

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