xgboost-classifier
There are 556 repositories under xgboost-classifier topic.
AliAmini93/Fault-Detection-in-DC-microgrids
Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.
amzn/confident-sinkhorn-allocation
Pseudo-labeling for tabular data
ShivamVadalia/Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment
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.
aj1365/DeepForest-Wetland-Paper
Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
ashishrana1501/Forest-Fire-Prediction
Algerian Forest Fire Prediction
czaloumi/fire-risk-analysis
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
xxl4tomxu98/autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
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.
rochitasundar/Customer-profiling-using-ML-EasyVisa
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.
AbhishekGit-hash/Credit-Card-Lead-Prediction
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.
DandiMahendris/Auto-Insurance-Fraud-Detection
This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
emykes/Flu_Vaccination_ML
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.
grknc/Customer-Churn-Analyzer-with-ML
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
mandar196/Hate_Speech_Detection-NLP
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.
merb92/Tanzanian-Waterpoint-Analysis-and-Classifictation
Predict the operational status of waterpoints to help the Tanzanian Government provide more clean water to its population using a Machine Learning Classifier
santiagocanepa/Insta_Bot
AI-powered Instagram bot for precise gender targeting using XGBoost and OpenAI ADA, with 91% accuracy at just $0.001 per 1000 queries. Automates follows/unfollows from user lists or photo likes, and checks follow-backs with randomized human-like actions. Ideal for influencers and marketers aiming for targeted engagement.
aia39/Synthetic-Tabular-Data-Generation-using-CTGAN-and-classify-with-XGboost
This is the repository to generate synthetic tabular data when the tabular data has imbalance in some feature.
apoorvaKR12695/Mobile-Price-Range-Prediction
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.
brian-kipkoech-tanui/binaryclassification
Classification
cconsta1/SexEst_Notebooks
Example notebooks to produce the models used in the SexEst web application.
dipesg/Insurance_Fraud
Webapp that predict whether a claim is a fraudulent or not by asking user to put a csv file as mention in schema.json.
Pratik94229/Credit-Card-Default-Prediction-End-to-End-Project
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.
SannketNikam/Credit-Risk-Analysis
Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.
virajbhutada/telecom-customer-churn-prediction
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.
vla6/Blog_gnn_naics
Exploring categorical features with various encodings and models
zahrasalarian/Data-Mining-Playground
This repository contains five mini projects covering several main topics in Data Mining, such as data preprocessing, clustering and classification.
galvinguy2002/Loan-Prediction-
Loan Prediction using machine learning
gvarun20/Machine-learning_Simple_projects
use the data set and run the ipynb file
michplunkett/ucpd-incident-scraper
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.
ntdoris/tech-layoffs-dashboard
Tech Layoffs & Job Postings - Dashboard and Prediction Models
oladimeji-kazeem/bank-customer-churn-predictor
Customer churn is a critical issue for banks, as retaining customers is more cost-effective than acquiring new ones. This project aims to analyse customer churn in a bank and develop a predictive model to identify customers who are likely to leave, and the responsible factors.
sachin17git/Malware-detection-ML
Android malware detection using machine learning.
Sidessh/Multi-Class-Multi-Output-Classification
Multi - Output Multi-Class Classification problem, Job-Type, and Job-Category Prediction