Topic: xgboost-classifier Goto Github
Some thing interesting about xgboost-classifier
Some thing interesting about xgboost-classifier
xgboost-classifier,Forecasting the likelihood of a customer defaulting their auto loan using classification models
User: abduliante
xgboost-classifier,A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.
User: abhishekgit-hash
xgboost-classifier,This is the repository to generate synthetic tabular data when the tabular data has imbalance in some feature.
User: aia39
xgboost-classifier,Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
User: aj1365
xgboost-classifier,Classification Modeling: Probability of Default
User: akthammomani
xgboost-classifier,Pseudo-labeling for tabular data
Organization: amzn
xgboost-classifier,In this project we predict credit card defaults using classification models.
User: anishjohnson
xgboost-classifier,a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification
User: anudeepvanjavakam1
xgboost-classifier,Supervised ML- Built a Multi-Class classification model to find the relation between features of a mobile phone(RAM, Internal Memory etc) and its selling price. Model will predict the price range indicating how high the price is.
User: apoorvakr12695
xgboost-classifier,In this analysis, the credit risk dataset consisting of 32851 loan records to determine how best to predict whether or not a loan applicant will repay.
User: arthurfeitosasc
xgboost-classifier,Algerian Forest Fire Prediction
User: ashishrana1501
xgboost-classifier,Variety of Jupyter Lab files examining different ML code for trading using yFinance
User: billie-ls
xgboost-classifier,Classification
User: brian-kipkoech-tanui
xgboost-classifier,Example notebooks to produce the models used in the SexEst web application.
User: cconsta1
xgboost-classifier,Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
User: czaloumi
xgboost-classifier,This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
User: dandimahendris
Home Page: https://github.com/DandiMahendris/Auto-Insurance-Fraud-Detection
xgboost-classifier,This Project we take Data of the sensor in brake system used in Heavy Duty Vehicles and Detect whether the System Failure is because of APS or not using Machine Learning Model which can be continuously trained and used for Prediction. I have Created WebApp using FASTAPI and deployed on AWS EC2 as a Docker Image through ECR Repositories
User: darshbhi99
xgboost-classifier,Webapp that predict whether a claim is a fraudulent or not by asking user to put a csv file as mention in schema.json.
User: dipesg
Home Page: https://insurancefraud12.herokuapp.com/
xgboost-classifier,This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
User: edaaydinea
xgboost-classifier,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.
User: edaaydinea
xgboost-classifier,The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.
User: emykes
xgboost-classifier,Loan Prediction using machine learning
User: galvinguy2002
xgboost-classifier,Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer
User: grknc
xgboost-classifier,use the data set and run the ipynb file
User: gvarun20
xgboost-classifier,CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
User: hanaecarrie
xgboost-classifier,Projects and practical assignments for data mining course at AUT, spring 2022. Projects contain main topics in data mining, such as data preprocessing, clustering, classification and assosiation rules.
User: hedzd
xgboost-classifier,Churn Modelling using XGBoost
User: jimschacko
xgboost-classifier,Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
User: karthik-d
Home Page: https://www.imageclef.org/FungiCLEF2022
xgboost-classifier,flight delay prediction using XGboost classifier
User: keerthikkn
xgboost-classifier,Build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data
User: mafikengz
xgboost-classifier,Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.
User: mandar196
xgboost-classifier,Predict the operational status of waterpoints to help the Tanzanian Government provide more clean water to its population using a Machine Learning Classifier
User: merb92
xgboost-classifier,This code is going to be used to scrape the UCPD Daily Incident page at a pre-determined frequency and store the incidents on a generic JSON data-store.
User: michplunkett
xgboost-classifier,This is projects of Data Mining
User: mohammadtavakoli78
xgboost-classifier,
User: murattkiran
xgboost-classifier,Creating models to forecast the outcome of the men's 2024 collegiate basketball tournaments
User: mycanaless
xgboost-classifier,Modelling and prediction of default + deployment via AWS Sagemaker
User: nicolaivicol
xgboost-classifier,Tech Layoffs & Job Postings - Dashboard and Prediction Models
User: ntdoris
xgboost-classifier,This Project is based upon a CHDs (Cardiovascular Heart Diseases) research dataset which has over 3000 records and 16 attributes. Since, the target variable belongs to Categorical attribute, We built classification models for the future predictions of CHDs in patients considering the features.
User: parulsharma098
xgboost-classifier,This is an end-to-end project that focuses on predicting credit card default using machine learning techniques. The project includes data validation,data preprocessing, model training, evaluation, and deployment.
User: pratik94229
xgboost-classifier,This project predicts whether customers will be purchasing the product or not, based on customer identity and behavior. From Bussines Understanding till Deployment
User: rezakalmas
xgboost-classifier,The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
User: rochitasundar
xgboost-classifier,Android malware detection using machine learning.
User: sachin17git
xgboost-classifier,Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.
User: shivamvadalia
xgboost-classifier,Multi - Output Multi-Class Classification problem, Job-Type, and Job-Category Prediction
User: sidessh
xgboost-classifier,
User: slrvv
xgboost-classifier,
User: sunilgolden
xgboost-classifier,Predict the winning probability of white player in a chess game on the basis of first move of white player and first move of black player. In the dataset all the set of moves are given but I choose to predict the white winner the first move
User: vinamrata-git
xgboost-classifier,Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
User: xxl4tomxu98
xgboost-classifier,This repository contains five mini projects covering several main topics in Data Mining, such as data preprocessing, clustering and classification.
User: zahrasalarian
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