GitHub topics: auc-roc-curve

Repositories

Yahya222F/MuseumLangID---Model-for-Identifying-the-Language-of-Texts-for-a-Museum

🌍 Identify museum text languages automatically using TF-IDF and Multinomial Naive Bayes for accurate classification in Italian, English, and German.

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janhabibi/loan-default-risk-project

📊 Predict loan default risk using a logistic regression model, empowering financial institutions to make informed lending decisions with data-driven insights.

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giacomolat/Classification-of-exotic-fruits

The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm

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Vaishnavi-vi/spam_classification_--

Spam Classifier using NLP — A comparative machine learning project that classifies SMS messages as Spam or Ham using Bag of Words, TF-IDF, and Word2Vec. Evaluation is based on AUC-ROC scores. Includes trained models, code notebook, and visualizations.

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adexoxo13/Naive-Bayes

Naive Bayes Classifier | 10-Fold Cross-Validation | ROC Curve Analysis | Machine Learning | Python

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cassnutt/Predicting_heart_disease

A dataset containing over 70,000 data points, 12 features, and one target variable were used to analyze if machine learning could predict if an individual has cardiovascular disease.

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aravindraju98/Telecom-Churn-Case-Study

This project analyzes customer churn in a telecommunications company using machine learning models. The analysis focuses on identifying key factors that contribute to customer churn and building predictive models to detect potential churners.

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hollobit/ML_evaluation_metrics

Landscape of ML/DL performance evaluation metrics

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prneidhardt/Supervised-Learning-Classification

INN Hotels Project

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deaminaa/Loan-Approval

Loan Prediction Model: A machine learning project predicting loan defaults to aid financial institutions. Features data preprocessing, feature engineering, and XGBoost with Optuna for hyperparameter tuning. Evaluated using AUC to assess applicant risk.

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aranzadata/BetaBankML

Modelo predictivo de aprendizaje supervisado para detectar clientes en riesgo de cancelar cuenta en Beta Bank.

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Akashash01/Logistic-regresion

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

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manjugovindarajan/INNHOTELS-supervisedlearningclassifications-

Analyze INN Hotels data to find which factors have a high influence on booking cancellations, build a predictive model to predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

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Osamaz123/Maintainance-cost-reduction-through-through-predictive-techniques-using-ml

Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.

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larenwell/ai-ml-pycaret-beerhub-challenge

This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.

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larenwell/ai-ml-insurance-claim-challenge

The company has collected historical customer and claims data and wants to use it to develop a machine learning model that can predict whether a customer will file an insurance claim in the next year.

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larenwell/ai-ml-diabetes-challenge

Repository where it is intended to address the detection of patients who will be readmitted for problems with diabetes.

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abhishekdbihani/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.

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riccardoprosdocimi/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.

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jodiambra/Sure-Tomorrow-Insurance-Benefits-Predictions

We conduct cluster analysis on customers and machine learning to predict if a customer will receive insurance benefits.

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UzoigweC/INNHotels

Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds

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peijin0405/Machine-Learning-Analysis-of-International-Student-Mobility-A-Case-Study-of-China

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.

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vicaaa12/Deep-Neural-Networks

Neural Network

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Mehrab-Kalantari/Credit-Card-Fraud-Detection

Credit card transactions fraud detection using classic algorithms

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nive927/Flight_Delay_Prediction

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.

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ksharma67/Heart-Failure-Prediction

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.

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

✋🏼🛑 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

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domingosdeeulariadumba/MarketingCampaignPrediction2

Continuing with telemarketing model to predict campaign subscriptions in a portuguese bank institution. For this project I have evaluated the performance of four resampling techniques and selected the best one to implement the logistic model.

Language: Python - Size: 976 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

alef-s/INN_hotels

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Vikash2009/Capstone-Project-3-Credit-Card-Default-Prediction

This project presents and discusses data-driven predictive models for predicting the defaulters among the credit card users.About Data Cleaning,Exploratory Data Analysis ,Handling Class Imbalance, Transforming Data , Fitting Different Model ,Cross Validation & Hyperparameter Tunning, Comparison of Model ,Combined ROC Curve, Feature Impotance.

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NehaPant14/Decision-Tree-Classifier-using-Logistic-Regression

Decision Tree classifier using Logistic Regression

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MoinDalvs/Assignment_SVM_Forest_Fire_Prediction

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MoinDalvs/Neural_Networks_Forest_Fire_Classification

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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Yemi-Ak/Supervised-Learning-Booking-Cancellations-INNHotels

The aim is to analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build predictive models(logisitic regression, decision trees) that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

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Related Keywords

auc-roc-curve 45 machine-learning 18 logistic-regression 14 python 12 classification 9 xgboost 7 data-science 7 confusion-matrix 6 random-forest 6 decision-trees 6 hyperparameter-tuning 6 feature-engineering 5 auc-roc-score 5 data-preprocessing 5 exploratory-data-analysis 5 pandas 5 numpy 5 multicollinearity 5 pruning 5 k-fold-cross-validation 4 f1-score 4 data-visualization 4 supervised-learning 4 decision-tree 4 seaborn 4 scikit-learn 4 cross-validation 3 accuracy 3 precision 3 smote 3 segmentation 3 matplotlib 3 deep-learning 3 knn-classification 3 naive-bayes-classifier 3 decision-tree-classifier 3 tf-idf-vectorizer 3 imbalanced-data 3 lightgbm 3 recall 3 roc-curve 2 deep-neural-networks 2 weight-initialization 2 evaluation-metrics 2 performance-analysis 2 prediction 2 regularization 2 svm-classifier 2 keras-classification-models 2 dropout-layers 2 precision-recall-curve 2 sklearn 2 kneighborsclassifier 2 classification-algorithm 2 classification-models 2 eda 2 sequential-models 2 svm 2 artificial-neural-networks 2 hyperparameter-optimization 2 binary-classification 2 sklearn-metrics 2 feature-selection 2 smotetomek 2 smoteenn 2 threshold 2 udacity-machine-learning-nanodegree 2 matplotlib-pyplot 2 featuretools 2 gridsearchcv 2 linear-regression 2 nlp 2 data-cleaning 2 fraud-detection 1 smote-oversampler 1 two-stage 1 multi-label-auc 1 auc-plot 1 eli5 1 lime 1 shap 1 skit-learn 1 computer-vision 1 convolutional-neural-networks 1 coronavirus 1 covid-19 1 cyclical-learning-rates 1 dice 1 healthcare 1 roc-plot 1 roc-evaluation 1 imbalanced-learning 1 model-selection 1 transaction-prediction 1 santander 1 smote-tomek 1 airports 1 correlation-coefficient 1 neural-network 1 feature-extraction 1