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faysal37 / titanic_hosted_by_kaggle

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A Comprehensive Guide to Titanic Machine Learning from Disaster

data-transformation cross-validation model-selection imputation recall outlier-detection confusion-matrix feature-engineering hyperparameter-tuning precision learning-curve univariate-distributions classification-report multivariate-analysis f1-score model-training bivariate-analysis feature-importance precision-recall-curve auc-roc-curve
  • Updated Aug 28, 2018
  • Jupyter Notebook

RudraChatterjee / Hotel-Cancellation_Prediction_Classification

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A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group

machine-learning exploratory-data-analysis data-visualization supervised-learning classification recall logistic-regression pruning decision-trees precision f1-score precision-recall-curve auc-roc-curve cost-complexity-pruning
  • Updated Mar 20, 2023
  • Jupyter Notebook

AbdallahIbrahim27 / Credit-Card-Fraud-Detection

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A machine learning application deployed on Streamlit Cloud that predicts the likelihood of fraudulent transactions. Users input transaction details, the app analyzes key features, displays prediction results and confidence, and offers an interactive, modern interface built with Streamlit and Plotly.

machine-learning fintech pca-analysis logistic-regression confusion-matrix normalization scaler auc-roc-curve ai-finance
  • Updated May 10, 2025
  • Python

marinagrimal / INNHotels-Project

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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.

exploratory-data-analysis threshold data-visualization logistic-regression pruning decision-tree decision-tree-classifier multicollinearity auc-roc-curve variance-inflation-factor
  • Updated Jul 23, 2024
  • Jupyter Notebook
ml-predictive-maintenance

riccardoprosdocimi / ml-predictive-maintenance

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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

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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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