Projects in Awesome Lists tagged with xgboost-algorithm
A curated list of projects in awesome lists tagged with xgboost-algorithm .
https://github.com/susanli2016/machine-learning-with-python
Python code for common Machine Learning Algorithms
decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm
Last synced: 14 May 2025
https://github.com/susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm
Last synced: 17 Apr 2025
https://github.com/chasedehan/BoostARoota
A fast xgboost feature selection algorithm
algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm
Last synced: 16 Nov 2025
https://github.com/chasedehan/boostaroota
A fast xgboost feature selection algorithm
algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm
Last synced: 05 Apr 2025
https://github.com/jinlow/forust
A lightweight gradient boosted decision tree package.
ai machine-learning pyo3 python rust xgboost xgboost-algorithm
Last synced: 27 Apr 2025
https://github.com/rudreshveerkhare/customxgboost
Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
adam-optimizer gradient-boosting-machine implementation-of-algorithms numpy rmsprop xgboost-algorithm
Last synced: 07 Oct 2025
https://github.com/eswar3/Zillow-prediction-models
Machine Learning Project using Kaggle dataset
eda machine-learning numpy parameter-tuning scikit-learn scikitlearn-machine-learning xgboost-algorithm
Last synced: 15 Mar 2025
https://github.com/moindalvs/gradient_boosting_algorithms_from_scratch
4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost
boosting-algorithms catboost-algorithm data-science decision-trees gradient-boosting lightbgm random-forest xgboost-algorithm
Last synced: 30 Oct 2025
https://github.com/kush1912/fake-news-detection
Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.
classification-algorithm fake guardian ipynb logistic-regression machine-learning-algorithms nyt random-forest scrap-data svm webscraping word2vec-model xgboost-algorithm
Last synced: 16 Oct 2025
https://github.com/krisharul26/air-quality-index-prediction_with_deployment
India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.
extra-trees-classifier hyperparameter-tuning linear-regression rmse-score svm-regressor xgboost-algorithm
Last synced: 18 Oct 2025
https://github.com/susanli2016/machine-learning-with-r
R codes for common Machine Learning Algorithms
apriori-algorithm decision-trees hierarchical-clustering kmeans-clustering knn lda linear-regression logistic-regression naive-bayes pca polynomial-regression random-forest svm svr xgboost-algorithm
Last synced: 13 Apr 2025
https://github.com/haroldeustaquio/machine-learning-projects
This repository contains Machine Learning mini-projects focused on different predictive models, from linear regression to more advanced techniques. It also includes more comprehensive end-to-end projects covering the entire ML workflow, from data preparation to model deployment.
adaptive-boosting-algorithm boosting-algorithms boostrap-aggregating end-to-end machine-learning python ramdom-forest regression-models tree-classification xgboost-algorithm xgboost-classifier xgboost-models xgboost-regression
Last synced: 14 May 2025
https://github.com/abhilash1910/nlp-workshop-ml-india
NLP Workshop -ML India
albert bart bert cnn-keras distilbert gpt-2 huggingface keras-tensorflow lightgbm-classifier lstm-neural-networks nlp-machine-learning roberta statistical-models transfer-learning transformer xgboost-algorithm xlm-roberta
Last synced: 12 Jul 2025
https://github.com/josedv82/nba_schedule_xgboost_classifier
Predicting NBA game outcomes using schedule related information. This is an example of supervised learning where a xgboost model was trained with 20 seasons worth of NBA games and uses SHAP values for model explainability.
h2o h2oai nba-analytics nba-stats shap shapley-additive-explanations shapley-value supervised-learning xgboost xgboost-algorithm
Last synced: 29 Mar 2025
https://github.com/sonu275981/big-mart-sales-prediction
Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
bigmart-sales-prediction data-science database datacleaning feature-engineering machine-learning pandas python sales xgboost-algorithm
Last synced: 06 Aug 2025
https://github.com/dennismuasyawambua/car_blockchaininsurance_nextjs_animation
A Blockchain-AI powered car insurance system that incentivizes good driving by rewarding good drivers with lower monthly insurance premiums
ai machine-learning nextjs threejs xgboost-algorithm
Last synced: 15 Jun 2025
https://github.com/amitkroutthedev/phishing-url-detection-backend
A Rest API which which takes url as input from user and display the result if the url is legitmate or phish.
django django-rest-framework python python3 rest-api xgboost-algorithm
Last synced: 21 Mar 2025
https://github.com/adidem23/rateeval
This is XgBoost based Model Which takes inputs from user and gives review from inputs
ml nodejs nodejs-child-process xgboost-algorithm
Last synced: 28 Feb 2025
https://github.com/dhrupad17/cricmind-t20-world-cup-score-predictor
The T20 World Cup Score Prediction project aims to predict the total runs scored by a team in a T20 cricket match using the XGBoost algorithm. XGBoost is a popular machine learning algorithm used for predictive modeling.
flask-application jupyter-notebook machine-learning python xgboost-algorithm
Last synced: 13 Apr 2025
https://github.com/ayanhussain81/t20_score_predictor
A XgBoost based Cricket Score Predictor
machine-learning python3 xgboost-algorithm
Last synced: 01 Apr 2025
https://github.com/krisharul26/password-strength-prediction-deployment
This repository, focus on password strength prediction. I have created an SVM model to classify whether password strength or medium or weak. After training the model, It has deployed on the Heroku platform.
accuracy-metrics logistic-regression-classifier machine-learning python roc-curve svm-classifier xgboost-algorithm
Last synced: 23 Feb 2025
https://github.com/CICIFLY/Predict_Loan_Using_Machine_Learning_Algorithms_in_Python
Data Science Projects with Different Algorithms
classification-algorithm jupyter-notebook linear-regression machine-learning-algorithms random-forest xgboost-algorithm
Last synced: 02 May 2025
https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system
ML project based on intrusion detection system trained dataset
bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm
Last synced: 26 Nov 2025
https://github.com/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm
Last synced: 13 Oct 2025
https://github.com/shubhampaliwal03/traffictracer
A web application for botnet detection using Machine Learning - XGBoost, from the csv file containing network packet flows, captured using CICFlowMeter Tool.
botnet-detection charts-js cicflowmeter css cybersecurity-tools flask flask-api html javascript machine-learning network-analysis network-security-tool packet-analyser python webapp xgboost-algorithm
Last synced: 26 Oct 2025
https://github.com/tanishq-ctrl/house-price-prediction-and-visualization
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
catboost catboost-classifier catboostregressor dataanlaytics datavisualization-project housepriceprediction lightgbm lightgbm-classifier lightgbm-regressor machinelearningalgorithms r2score rmse-score xgboost xgboost-algorithm xgboost-classifier
Last synced: 22 Mar 2025
https://github.com/ajitonelsonn/chronic_disease_predictor
An advanced AI-powered tool for predicting chronic disease risks and providing personalized medical recommendations. The system utilizes machine learning to analyze patient data and generate risk assessments for various chronic conditions.
ai healthcare jupyter-notebook llm llma machine-learning python togetherai xgboost-algorithm
Last synced: 28 Oct 2025
https://github.com/aashish22bansal/detection-of-parkinson-s-disease
This is a simple Classification Model trained using the XGBoost Algorithm and then uses the training to predict whether a patient is suffering from the disease or not.
classification jupyter-notebook machine-learning xgboost xgboost-algorithm
Last synced: 26 Nov 2025
https://github.com/maklonfr/predictiveanalytics-studentsperformance
Submission Dicoding Indonesia - Machine Learning Terapan (Predictive Students Analytics)
dicoding-submission logistic-regression-algorithm machine-learning naive-bayes-algorithm predictive-modeling random-forest-a xgboost-algorithm
Last synced: 03 Apr 2025
https://github.com/philiptitus/stroke-prediction
This Project utilizes 3 Decision Tree Algorithms to make stroke Prediction models
decision-tree-classifier decision-trees hyperparameter-tuning random-forest-classifier sickit-learn supervised-learning xgboost xgboost-algorithm
Last synced: 20 Mar 2025
https://github.com/yash-3-bit/solar-irradiance-prediction
Solar irradiance prediction involves forecasting the amount of solar energy reaching a given area over a specific time period. This is critical for optimizing solar power generation, energy storage, and grid management. Here's an overview of the key concepts, methods, and tools involved:
feature-engineering feature-selection machine-learning multilayer-perceptron xgboost-algorithm
Last synced: 27 Mar 2025
https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
Last synced: 20 Jun 2025
https://github.com/vimal007vimal/malicious-url-detection
Our project employs machine learning to pinpoint phishing URLs with 97.4% accuracy, leveraging HTTPS and website traffic as critical indicators. Insights into features like AnchorURL enhance cybersecurity strategies, showcasing the power of AI in combating online threats.
cybersecurity https malicious-url-detection phishing python python3 xgboost-algorithm xgboost-classifier
Last synced: 04 Mar 2025
https://github.com/sankethsj/ml-algorithms-on-stocks
Machine Learning Algorithms for Stock Price Prediction
flask lstm-neural-network svelte tensorflow xgboost-algorithm
Last synced: 23 Jul 2025
https://github.com/rakibhhridoy/visualmachinelearning-yellowbrick
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick
Last synced: 19 Jul 2025
https://github.com/cintia0528/data_science-supervised_machine_learning_classification_housing
The projects aim is to find the to best ML algorithm evaluated on its efficiency in predicting whether homes should be classified as expensive or not expensive.
classification lazypredict machinelearning-python supervised-machine-learning xgboost-algorithm
Last synced: 26 Jul 2025
https://github.com/kush1912/text-classification
This is one of the Projects which was done in interest to learn the difference between the different classification algorithm and derive a solid conclusion from that. It scrap sthe data from youtube and related to six different classes and then by using different classification algorithm it classifies them.
beautifulsoup4 naive-bayes-algorithm neural-network randomforest selenium-webdriver svm-classifier text-classification tfidf-vectorizer webscrapping xgboost-algorithm youtube
Last synced: 04 Oct 2025
https://github.com/suryadev99/ml_wine_tasting
To predict the quality of wine on the basis of given features using Machine Learning
machine-learning notebook-jupyter python xgboost xgboost-algorithm xgboost-model
Last synced: 26 Feb 2025
https://github.com/kumaarbalbir/porosity-prediction-of-rocks-using-ml
The manual laboratory measurement of porosity of rocks on thermal treatment is tedious and time consuming. We can ease this task by building a predictive model trained on physical features of rocks samples.
knn-algorithm linear-regression machine-learning-algorithms mineral-exploration python3 random-forest rocks svm-regressor xgboost-algorithm
Last synced: 30 Mar 2025
https://github.com/himanshkr03/comparative_performance_on_fashionmnist
This repository explores various machine learning and deep learning models for classifying images from the Fashion MNIST dataset. It includes data exploration, model training, evaluation, and visualization techniques to gain insights into the classification task.
deep-learning fashion-mnist fine hybrid-model image-classification keras machine-learning scikit-learn tensorflow xgboost-algorithm
Last synced: 30 Jun 2025
https://github.com/itzdineshx/mental-health-eda-ensembling-models
This project focuses on predicting mental health status (Depression) using a dataset generated from a deep learning model trained on the Depression Survey.
boosting catboost ensemble-model exploratory-data-analysis histgradient mental-health mental-health-eda xgboost-algorithm
Last synced: 16 May 2025
https://github.com/prathamp25/simplehousepricepredictor_
A regression-based Machine Learning project predicting house prices using multiple models: Linear Regression, Random Forest, XGBoost, Gradient Boosting, SVR, and KNN. Includes feature engineering, visualization, and model comparison.
house-price-prediction linear-regression machine-learning-algorithms random-forest xgboost-algorithm
Last synced: 25 Mar 2025
https://github.com/abhi227070/salary-price-prediction
Salary Prediction API using Flask predicts salaries for freshers joining organizations based on factors like past experience, company switches, courses completed, and academic marks. This Flask-based API allows users to input their details and receive a salary prediction. With no user interface, it's designed for integration into other applications
flask flask-api flask-api-rest machine-learning machine-learning-algorithms python3 regression-models xgboost xgboost-algorithm xgboost-classifier
Last synced: 20 Feb 2025
https://github.com/maqmal/ml-hands-on-collection
The 3 most commonly used machine learning algorithm
machine-learning-algorithms naive-bayes-classifier neural-network tensorflow xgboost-algorithm
Last synced: 01 Mar 2025
https://github.com/trep48/crop-prediction
Predicting crop using machine learning with Random Forest, SVM, Decision Tree, Gradient Boosting, and KNN algorithms.
anaconda anaconda-environment colab-notebook colaboratory crop croprecommendations decision-tree-classifier ipynb ipython-notebook jupyter-notebook jupyter-notebooks knn-algorithm machine-learning python python3 random-forest-classifier svm xgboost-algorithm
Last synced: 01 Mar 2025
https://github.com/aslisabanci/xgboost_demo
Demonstrating how to build an XGBoost model and deploy it to Algorithmia, from a Jupyter notebook
algorithmia algorithmia-api inference jupyter-notebook model-serving python sentiment-analysis sentiment-classification serving xgboost xgboost-algorithm xgboost-model xgboost-python
Last synced: 28 Feb 2025
