Pedro-Verissimo/Multiple_Disease_Prediction_Model

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sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite

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KasiMuthuveerappan/CAB-Ensemble-Learning-CHURN-Prediction

📘 This repository predicts OLA driver churn using ensemble methods—Bagging (Random Forest) and Boosting (XGBoost)—with KNN imputation and SMOTE. It reveals city-wise churn trends and key performance drivers, powering smarter, data-backed retention strategies for the ride-hailing industry.

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Singhananddev/Health-insurance-cross-sell-prediction

Health-insurance-cross-sell-prediction

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connect-web/OSRS-ML

MlFlow Project creating pipelines and using Grid-Search Cross Validation to find optimal parameters for Old School Runescape Machine Learning datasets.

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yuhexiong/bike-buyers-XGBClassifier-python

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rudrajikadra/Parkinsons-Disease-Detection-ML-Project-with-XGBClassifier

In this project, I have created a Machine Learning model using XGBClassifier to Detect Parkinsons Disease with eXtreme Gradient Boosting (XGBoost).

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SINGHxTUSHAR/Sensor-Fault-Detection

Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.

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lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

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LHarieswar/Email-Spam-Classifier

Spam Email Detection using Machine Learning Classifier Algorithms

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mishika12/NLP-Classification_of_Tweets_into_Troll_Comments

Analyzing tweets from Twitter and classifying them into trolls using Natural Language Processing

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anjalysam/Health-Insurance-Cross-Sell-Prediction

Predict Health Insurance Owners' who will be interested in Vehicle Insurance

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ashishyadav24092000/XGBClassifier_titanicSurvivors

In this problem i have tried to explain how XGB algorithm works in case of classification. I have also stated the accuracy score at the end for our XGBClassifier model. The confusion matrix has also been shown for the same. I have used the Kaggle Dataset - Titanic Survivors csv file.

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ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER

Detecting Parkinson Using extreme gradient boosting(XGBOOSTING) Algorithm.

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artefucktor/samokat_workshop

Задача от Яндекс.Практикум и Samokat.tech – реализовать векторный поиск и решить усечённую задачу матчинга

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MrAnayDongre/Parkinsons-DiseaseDetection

In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. We’ll load the data, get the features and labels, scale the features, then split the dataset, build an XGBClassifier, and then calculate the accuracy of our model.

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Kavya2099/Heart-Attack-Analysis-Prediction

Heart Attack Analysis & Prediction model created for DataTalks.Club mlzoomcamp course

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rutujahingankar/Health-insurance-cross-sell-prediction

Predict Health Insurance Owners who will be interested in Vehicle Insurance

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Billie-LS/modeling_da_loans

Using supervised learning on Lending Club loan data to predict default and / or bad loans

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hvignolo87/Marketing-Campaign-Classification

Real case of classification with machine learning. Analysis of real data from telemarketing campaigns of a Portuguese bank.

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ichwan97/Weather-Prediction-With-Gradient-Boost

Weather Prediction With Gradient Boost

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mauryashobhit/heart_disease

classifying a patient has a heart disease or not

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georgemuriithi/bank-loan-customers

Clustering bank loan customers using KMeans clustering and predicting their loan statuses using XGBClassifier. The prediction model is explained with SHAP values.

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smh997/Audiobook-Customer-Segmentation-and-Purchase-Prediction

Segmenting customers of an audiobook platform and predicting their future purchase.

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SujanNeupane42/Titanic-Survival-Prediction

In this classification project, we will use different features like passenger class, sex, age, fare, etc to predict whether a person will survive in titanic or not.

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imane-ayouni/Iris

Different classification algorithms to predict the species of Iris flowers

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imane-ayouni/Pima

Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes

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Abrar2652/IEEE-CIS-Fraud-Detection-Project

This is the first project to be completed in Upskill ISA Intelligent Machines. The project was done after the end of the competition. The XGBClassifier used in this model obtained 0.950844 public scores on Kaggle.

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demonpratapdemon/Malware-Detection

Malware Detection is a Kaggle Competition held privately which detects the probability of a machine being infected with malware or not given various features of each machine.

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theshreyansh/Detecting-Parkinsons-Disease

Detecting Parkinson’s Disease – Python Machine Learning Project

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MihirBindal/classification-parameters-effect

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divya21raj/Parkinson-s-Disease-Detection

Detecting Parkinson's using the XGBClassifier

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