AloRay/CREDIT-CARD-FRAUD

This project focuses on building a fraud detection model for credit card transactions using a dataset containing transactions made by European cardholders in September 2013. We are working with a highly unbalanced dataset and the challenge lies in effectively detecting fraudulent transactions while minimizing false positives.

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Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

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namansnghl/Stay-or-Stray

Course Dropout Prediction, Datathon Spring'24

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PreethiAngelStephen01/BA_Customer-analysis

Scrape and analyse customer review data to uncover findings for British Airways

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sid966/credit_card_fraud_detection

This project is about credit card fraud detection using Random Forest Classifier.

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karl0706/Essay-quality-prediction

The goal is to create a model predicting the grade of an essay

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Kenner82/Credit_Risk_Analysis

Testing 6 different machine learning models to determine which is best at predicting credit risk.

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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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Hands-On-Fraud-Analytics/Chapter-12-Data-Preparation-for-Fraud-Analytics

Chapter 12: Data Preparation for Fraud Analytics

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MsTao-68/Debt-Churn-Data-Analysis

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

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Thamannahafeez/Heart_Disease_Prediction

Predict heart disease classification problem

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MinaShirinchi/AI-class-1402

Here is the repository for sharing jupyter notebooks discussed in 'AI-1402' class.

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Hands-On-Fraud-Analytics/Chapter-11-Handling-Imbalanced-Data-Sets

Handling Imbalanced Data Sets

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edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

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FarhanaTeli/Kyphosis_Disease_Prediction_with_NN_XGBoost

Kyphosis disease prediction using simple Neural Network (NN) model and XGBoost model with GridSearchCV

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Leohrithik/Titanic-Survival-Prediction

Survival prediction using Four Different kind of algorithms and optimizing the dataset using PCA and SMOTE

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DivyaSudagoni/Predicting-hotel-booking-cancellation

This project predicts hotel booking cancellations using Machine Learning techniques, benefiting both travelers and hotels.

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DavidNart90/KNUST-BreastCancer-Prediction

This repository contains the resources and codebase for a research project aimed at predicting breast cancer cases using data from the KNUST hospital.

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Bahey1200022/Credit-Card-Fraud-Detection

solution https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud. Xgboost is an efficient method of gradient boosting that makes a random initial prediction then calculates similarity scores and gain to build the trees and decrease the gap between the actual value and the predicted value.Gridsearch was used to get the best parameters tuning.

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LJD0/Neural_Network_Charity_Analysis

A Deep Learning analysis to predict success of charity campaigns

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maengjulie/Battery-Degradation-Analysis-Project-code

Battery analysis project

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mmsaki/credit-risks-ml

Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.

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xDiste/HeartDisease-Analysis-and-Prediction

Data analysis, visualization and prediction for the prevention of heart disease

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Sar-Go/Adult-Income-Prediction-AzureMLStudio

Future Ready Talent Project Submission.Using Azure ML Studio to predict the income of individuals, based on their age, race, education, residence city, etc. Used the adult census dataset

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cbrito3/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

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MoinDalvs/Assignment_Decision_Tree_2

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sarahm44/credit-risk-predictor

Uses several machine learning models to predict credit risk.

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Rutgers-Data-Science-Bootcamp/Credit_Risk_Analysis

Data preparation, Statistical reasoning, Machine Learning

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BaileeRice/Credit_Risk_Analysis

using machine learning to assess credit risk

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Zarich12/No_Show_Appointment_ML-Logistic-Regression-

Predicts if a patient will show up at a scheduled appointment based on certain features.

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tanmelissa/Credit_Risk_Analysis

Creating various machine learning models to create the most accurate model to predict credit risk

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Olatohun/loan-default

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diercz/Credit_Risk_Analysis

Utilized several machine learning models to predict credit risk using Python's imbalanced-learn and scikit-learn libraries

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Sidessh/Multi-Class-Classification---License-Status-Prediction

Multi-class Classification - License Status Prediction

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tyedem/Risky_Business

Credit Risk Analysis utilizing imbalanced classification machine learning models

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ChriStingo/HeartDisease-Analysis-and-Prediction

Data analysis, visualization and prediction for the prevention of heart disease using ML models

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carzynsky/Analytics-and-Data-mining

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toan01-uet/Solution-for-HackerEarth-Machine-Learning-challenge

HackerEarth Machine Learning challenge: Of Genomes And Genetics

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nicoserrano/Credit_Risk_Analysis

Utilized several machine learning models to predict credit risk using Python's imbalanced-learn and scikit-learn libraries

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TrungLuong1194/breast-cancer-classification

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mfriebel/lyrics_classifier

This project uses web scraping to download song text and uses Natural Language Processing (NLP) to predict an artist based a line of song text

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