Credit Risk Analysis with Machine Learning
-
Updated
May 2, 2023 - Jupyter Notebook
#
lightbgm
Here are 27 public repositories matching this topic...
A full ML pipeline for customer churn prediction in telecom, banking, or SaaS. Includes robust data cleaning, automatic feature engineering, model training/tuning (Logistic Regression, RF, XGBoost), interpretability, and interactive dashboards for actionable business retention insights.
python machine-learning random-forest scikit-learn pandas xgboost churn-prediction shap optuna lightbgm
-
Updated
Aug 22, 2025 - HTML
4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost
data-science random-forest decision-trees boosting-algorithms gradient-boosting xgboost-algorithm lightbgm catboost-algorithm
-
Updated
Aug 27, 2022 - Jupyter Notebook
SaleFore AI: Ultra-accurate sales forecasting using ensemble ML (XGBoost, LightGBM, CatBoost) with RTX 4060 GPU optimization. Achieves 88-95% accuracy with advanced hyperparameter tuning.
-
Updated
Aug 22, 2025 - Python
This project detects AI-generated text using an ensemble of classifiers: Multinomial Naive Bayes, Logistic Regression, LightGBM, and CatBoost. It includes robust data preprocessing, model development, and evaluation, ensuring accurate identification of AI-generated content from a diverse text dataset.
numpy tokenizer naive-bayes scikit-learn transformers pandas logistic-regression catboost sgd-classifier tfidf-vectorizer lightbgm
-
Updated
Feb 3, 2024 - Jupyter Notebook
Flask API for real-time intrusion detection using a threshold-optimized LightGBM model.
-
Updated
May 1, 2025 - Jupyter Notebook
Machine learning project for KTM Komuter hourly ridership prediction using regression models.
python machine-learning transportation jupyter-notebook regression xgboost forecasting ridership catboost lightbgm
-
Updated
May 28, 2026 - Jupyter Notebook
Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio
graphviz supervised-learning logistic-regression decision-tree-classifier gradient-boosting-classifier random-forest-classifier ensemble-models bagging-trees lightbgm xgboost-classifier randomizedsearchcv adaboostclassifier
-
Updated
Aug 2, 2020 - Jupyter Notebook
predicting a continuous target (regression) based on number of anonymous features columns given in the data.
-
Updated
Feb 24, 2021 - Jupyter Notebook
All Possible Machine Learning algorithms implementation in jupyter notebook with csv file.
random-forest linear-regression machine-learning-algorithms jupyter-notebook naive-bayes-classifier logistic-regression handwritten-digit-recognition svm-classifier gradient-boosting id3-algorithm mini-project xgboost-algorithm knn-classifier lightbgm svm-mode cat-boost find-s-algorithm
-
Updated
Oct 11, 2021 - Jupyter Notebook
End-to-end retail demand forecasting system — built so the accuracy number is trustworthy: leakage-safe features, rolling-origin walk-forward validation, an automated leakage audit that gates CI, drift monitoring, a latency-benchmarked FastAPI service, and a C++ vector-index cold-start engine for forecasting brand-new products — plus DSA-optimized
python git docker aws tensorflow numpy scikit-learn chartjs postgresql keras pandas pytest xgboost tableau mlflow fastapi lightbgm dsa-algorithm
-
Updated
Jun 3, 2026 - Python
Reproducible machine learning pipeline for IoT/Windows dataset classification with leakage-aware evaluation.
python machine-learning scikit-learn feature-selection feature-extraction classification intrusion-detection data-analysis iot-security lightbgm
-
Updated
Jun 12, 2026 - Jupyter Notebook
🔍 Predict customer churn with a machine learning system that identifies at-risk clients and recommends tailored retention strategies for better ROI.
python docker data-science machine-learning random-forest svm pandas saas xgboost softmax-regression churn-prediction smote mlops shap churn-analysis fastapi optuna lightbgm streamlit
-
Updated
Jun 16, 2026 - Python
Analytics Vidhya AmExpert ML Competition
python machine-learning cross-validation classification boosting analytics-vidhya-competition lightbgm
-
Updated
Oct 5, 2019 - Jupyter Notebook
data-science machine-learning jupyter-notebook tabular-data hyperparameter-optimization classification datavisualization anaconda3 gradient-boosted-trees lightbgm
-
Updated
Nov 21, 2019 - Jupyter Notebook
Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.
python machine-learning data-mining kaggle neural-networks xgboost autoencoder ensemble-learning smote fraud-detection imbalanced-learning catboost lightbgm arizona-state-university financial-security
-
Updated
Feb 12, 2025 - Jupyter Notebook
End-to-end MLOps pipeline: LightGBM model served via FastAPI, containerised with Docker, deployed to Hetzner via GitHub Actions CI/CD
-
Updated
Apr 15, 2026 - Jupyter Notebook
Stellar objects classification from sensor data taken by the SDSS (Sloan Digital Sky Survey) using some basic machine learning models.
-
Updated
Jan 13, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the lightbgm topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lightbgm topic, visit your repo's landing page and select "manage topics."