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Implement common statistical machine learning algorithms with raw Numpy.
numpy svm linear-regression machine-learning-algorithms statistical-learning regression artificial-intelligence xgboost classification bayesian-statistics xgboost-python
Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing
machine-learning-algorithms pytorch neural-networks python-3 jupyter-notebooks xgboost-algorithm xgboost-model xgboost-regression xgboost-python arxiv-papers
Introduction to XGBoost with an Implementation in an iOS Application
python swift machine-learning ios-app ios-swift xgboost xgboost-algorithm decision-tree-regression coremltools ensemble-machine-learning xgboost-python
This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.
machine-learning xgboost breast-cancer-wisconsin svm-classifier probabilistic-models gradient-boosting breastcancer-classification knn-algorithm xgboost-python robust-scaling
Simulator provides a hands-on platform to simulate real interview scenarios, helping candidates prepare for technical and behavioral interviews.
Credit Card Fraud Detection using Machine Learning
machine-learning random-forest report logistic-regression decision-tree-classifier svm-classifier fraud-detection knn-classification xgboost-python
XTune: A custom python wrapper for XGBoost and LightGBM with numerous utility functions to prevent silly gotchas and save time!
machine-learning lightgbm machine-learning-library tuning-parameters gradient-boosting xgboost-python
Angular 8 application for course project using AWS AND ML features
javascript css typescript aws-lambda aws-s3 fire aws-apigateway aws-rekognition aws-ec2 axure aws-dynamodb firebase-authentication mechine-learing xgboost-python angular8
This project is a part of research on Breast Cancer Diagnosis with a Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.
machine-learning xgboost breast-cancer-wisconsin svm-classifier probabilistic-models gradient-boosting breastcancer-classification knn-algorithm xgboost-python robust-scaling
Southern Data Science Conference Attempt 2020
datascience feature-engineering keras-classification-models lending-club loan-default-prediction xgboost-python sdsc lightgbm-models
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.
machine-learning machine-learning-algorithms xgboost classification xgboost-python xgboost-classifier
AI early-warning system for Indian infrastructure projects: predicts cost & schedule overrun risk from MoSPI PAIMANA data using XGBoost, SHAP explanations, and conformal confidence intervals. Built for SIH 2026 (PS SIH26103)
Predictions and Analysis of Customer Churn for Telecoms Company with Plotly Dash Application.
aws-s3 numpy scikit-learn pandas data-analysis python-3 boto3 kmeans-clustering heroku-deployment dashboard-application plotly-dash xgboost-python
Kaggle Competition (Encoding categorical variables)
Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset
bootstrap machine-learning random-forest machine-learning-algorithms artificial-intelligence xgboost gbdt boosting-algorithms ensemble-model boosting bagging xgboost-algorithm ensemble-classifier gradientboostinclassifier xgboost-model emsembling boosting-tree xgboost-python amazonfinefoodreviews boosting-algorithm
Walmart Sales Forecast Solution
Self-taught applications of Machine Learning Model XGBoost for COMP4650
A comparative breakdown of traditional econometric timeseries models vs. more modern ML methods for predicting a retail firm's sales over a short to medium horizon
build a model that accurately detect the presence of Parkinson’s disease in an individual.
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