xgboost-classifier

There are 1 repository 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.
dwt feature-selection fft neural-network random-forest xgboost-classifier digsilent anova-analysis pearson-correlation cnn mutual-information svm data-augmentation linear-discriminant-analysis grid-search-hyperparameters
Language:Jupyter Notebook 45
amzn / confident-sinkhorn-allocation
Pseudo-labeling for tabular data
pseudo-labeling xgboost-classifier sinkhorn-algorithm semi-supervised-learning uncertainty-estimations tabular-data
Language:Jupyter Notebook 20
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.
deep-learning random-forest-classifier xgboost-classifier decision-tree-classifier cnn-classification
Language:Jupyter Notebook 15
ashishrana1501 / Forest-Fire-Prediction
Algerian Forest Fire Prediction
feature-engineering feature-selection flask hyperparameter-tuning linear-regression logistic-regression machine-learning modeling random-forest-classifier random-forest-regression randomizedsearchcv xgboost-classifier xgboost-regression data-science deployment jupyter-notebook python sklearn
Language:Jupyter Notebook 13
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.
dark-channel-prior deep-learning denoising-images machine-learning object-detection python pytorch rule-based-classifier statistical-analysis xgboost-classifier yolov8
Language:Jupyter Notebook 12
czaloumi / fire-risk-analysis
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
fire-detection neural-network cnn-model fire-images forest-fires fire-risk risk-analysis satellite-imagery xgboost-classifier smoke-detection
Language:Jupyter Notebook 11
xxl4tomxu98 / autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
autoencoderscompression autoencoder-neural-network sequence-to-sequence variational-autoencoders convolutional-autoencoder autoencoder-denoising autoencoder-classification autoencoder-latent-layer gradient-boosting-machine light-gradient-boosting-machine xgboost-classifier histgram-gradient-boosting
Language:Jupyter Notebook 11
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).
alzheimer-disease-prediction anova-test catboost-classifier chi-square-test data-science deep-neural-networks keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier tensorflow xgboost-classifier
Language:Jupyter Notebook 9
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.
anova-analysis catboost-classifier chi-square-test data-science deep-learning keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier smote-oversampler tensorflow xgboost-classifier
Language:Jupyter Notebook 7
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.
decision-tree-classifier bagging-ensemble random-forest-classifier gradient-boosting-classifier adaboostclassifier xgboost-classifier stacking-ensemble grid-search-hyperparameters grid-search-cross-validation accuracy-metrics precision-recall f1-score
Language:Jupyter Notebook 7
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.
python machine-learning lightgbm-classifier xgboost-classifier stacking-ensemble hyperparameter-tuning
Language:Jupyter Notebook 5
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.
fraud-detection gradient-boosting-classifier machine-learning xgboost-classifier
Language:HTML 5
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.
machine-learning decision-tree-classifier logistic-regression random-forest knearest-neighbor-classifier gradient-boosting xgboost-classifier
Language:Jupyter Notebook 5
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
customer-churn customer-churn-prediction customer-churn-prediction-with-machine-learning lightgbm-classifier prediction predictive-modeling random-forest-classifier xgboost xgboost-classifier
Language:Jupyter Notebook 5
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.
python nlp porter-stemmer hatespeech countvectorizer text-classification xgboost-classifier
Language:Jupyter Notebook 5
Tanzanian-Waterpoint-Analysis-and-Classifictation
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
water-infrastructure multiclass-classification imbalanced-data random-forest-classifier xgboost-classifier smote
Language:Jupyter Notebook 5
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.
confusion-matrix hyperparameter-optimization multi-class-classification random-forest-classifier xgboost-classifier
Language:Jupyter Notebook 4
cconsta1 / SexEst_Notebooks
Example notebooks to produce the models used in the SexEst web application.
colab data-science lgbmclassifier machine-learning python scikit-learn scikitlearn-machine-learning xgboost-classifier classification classification-algorithm python3
Language:Jupyter Notebook 4
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.
modular-programming python kmeans-clustering knn-classification xgboost-classifier webapps
Language:Python 4
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.
classification flask-application kmeans-plus-plus machine-learning sqlite xgboost-classifier
Language:Jupyter Notebook 4
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.
embeddings genderclassification ia instagrambot openai xgboost-classifier
Language:TypeScript 4
zahrasalarian / Data-Mining-Playground
This repository contains five mini projects covering several main topics in Data Mining, such as data preprocessing, clustering and classification.
association-rules classification clustering data-mining iris-classification iris-dataset k-means pandas preprocessing scikit-learn tensorflow xgboost xgboost-classifier
Language:Jupyter Notebook 4
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.
classification deep-learning gan sythetic xgboost-classifier ctgan
Language:Jupyter Notebook 3
akthammomani / Credit_Risk_Classification
Classification Modeling: Probability of Default
credit-risk classification python catboost-encoding smote knn-classification logistic-regression-classifier random-forest-classifier xgboost-classifier stacking-classifier optuna
Language:Jupyter Notebook 3
brian-kipkoech-tanui / binaryclassification
Classification
adaboostclassifier classification-algorithm ensemble-model gradient-boosting-classifier random-forest svm voting-classifier xgboost-classifier
Language:Jupyter Notebook 3
galvinguy2002 / Loan-Prediction-
Loan Prediction using machine learning
loan-prediction-analysis machine-learning matp pandas python3 scikitlearn-machine-learning seaborn visualization xgboost-classifier
Language:Jupyter Notebook 3
gvarun20 / Machine-learning_Simple_projects
use the data set and run the ipynb file
clustering-algorithm data-science gradient-descent machine-learning-algorithms ml prediction gbm knn-classification pca xgboost-classifier
Language:Jupyter Notebook 3
hanaecarrie / CS5228_kaggle_income50K_classification
CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
binary-classification feature-engineering knn-classifier mlp-classifier xgboost-classifier catboost extra-trees-classifier random-forest-classifier lightgbm-classifier machinelearning hyperparameter-search
Language:Jupyter Notebook 3
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.
gcp police-data police python heroku-deployment xgboost-classifier webscraping
Language:Python 3
murattkiran / employee_turnover_prediction
aws-elastic-beanstalk decision-trees docker random-forest-classifier render xgboost-classifier
Language:Jupyter Notebook 3
ntdoris / tech-layoffs-dashboard
Tech Layoffs & Job Postings - Dashboard and Prediction Models
classification dash sarima-model time-series xgboost-classifier
Language:Jupyter Notebook 3
sachin17git / Malware-detection-ML
Android malware detection using machine learning.
bayesian-inference bayesian-optimization feature-selection machine-learning machine-learning-algorithms malware-detection multicollinearity python random-forest shap-values shapley-additive-explanations shapley-values stacking-classifier voting-classifier catboost-classifier k-nearest-neighbours logistic-regression support-vector-machines xgboost-classifier
Language:Jupyter Notebook 3
Sidessh / Multi-Class-Multi-Output-Classification
Multi - Output Multi-Class Classification problem, Job-Type, and Job-Category Prediction
xgboost-classifier multioutput-classification multiclass-classification
Language:Jupyter Notebook 3
Nishant2018 / Academic-Success-Classification-XGBoost-
XGBoost is an open-source machine learning library that provides efficient and scalable implementations of gradient boosting algorithms. It is known for its speed, performance, and accuracy, making it one of the most popular and widely-used machine learning libraries in the data science community.
classification machine-learning machine-learning-algorithms xgboost xgboost-classifier xgboost-python
Language:Jupyter Notebook 2
Nishant2018 / classification-with-nlp-xgboost-and-pipelines
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.
classification nlp nlp-library nlp-machine-learning xgboost xgboost-classifier
Language:Jupyter Notebook 2
SeyedMuhammadHosseinMousavi / PSO-Fuzzy-XGBoost-Classifier
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
feature-selection fuzzy neural-gas-network pso xgb xgboost-classifier pso-fuzzy pso-fuzzy-xgboost
Language:Python 2

xgboost-classifier

AliAmini93 / Fault-Detection-in-DC-microgrids

amzn / confident-sinkhorn-allocation

aj1365 / DeepForest-Wetland-Paper

ashishrana1501 / Forest-Fire-Prediction

ShivamVadalia / Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment

czaloumi / fire-risk-analysis

xxl4tomxu98 / autoencoder-feature-extraction

edaaydinea / OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

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

rochitasundar / Customer-profiling-using-ML-EasyVisa

AbhishekGit-hash / Credit-Card-Lead-Prediction

DandiMahendris / Auto-Insurance-Fraud-Detection

emykes / Flu_Vaccination_ML

grknc / Customer-Churn-Analyzer-with-ML

mandar196 / Hate_Speech_Detection-NLP

merb92 / Tanzanian-Waterpoint-Analysis-and-Classifictation

apoorvaKR12695 / Mobile-Price-Range-Prediction

cconsta1 / SexEst_Notebooks

dipesg / Insurance_Fraud

Pratik94229 / Credit-Card-Default-Prediction-End-to-End-Project

santiagocanepa / Insta_Bot

zahrasalarian / Data-Mining-Playground

aia39 / Synthetic-Tabular-Data-Generation-using-CTGAN-and-classify-with-XGboost

akthammomani / Credit_Risk_Classification

brian-kipkoech-tanui / binaryclassification

galvinguy2002 / Loan-Prediction-

gvarun20 / Machine-learning_Simple_projects

hanaecarrie / CS5228_kaggle_income50K_classification

michplunkett / ucpd-incident-scraper

murattkiran / employee_turnover_prediction

ntdoris / tech-layoffs-dashboard

sachin17git / Malware-detection-ML

Sidessh / Multi-Class-Multi-Output-Classification

Nishant2018 / Academic-Success-Classification-XGBoost-

Nishant2018 / classification-with-nlp-xgboost-and-pipelines

SeyedMuhammadHosseinMousavi / PSO-Fuzzy-XGBoost-Classifier