End-to-End MLOps Pipeline: Train, track, containerize, and deploy ML models via FastAPI REST API with automated CI/CD on Render.
-
Updated
Jun 11, 2026 - Python
End-to-End MLOps Pipeline: Train, track, containerize, and deploy ML models via FastAPI REST API with automated CI/CD on Render.
ChurnSense-AI: End-to-end telecom churn prediction system with XGBoost, SHAP explainability, SQL analytics, Power BI dashboards, and customer risk intelligence.
Fine-tuned DistilBERT for political misinformation classification with cross-dataset evaluation across LIAR and Fakeddit benchmarks, compared against Logistic Regression, Naive Bayes, and SVM baselines.
A deep learning project that predicts a student's **chance of admission** to a graduate program based on academic and profile features.
Machine Learning project for predicting customer purchase behavior using a Decision Tree Classifier on the Bank Marketing Dataset with data preprocessing, feature importance analysis, confusion matrix visualization, and decision tree interpretation.
Add a description, image, and links to the skikit-learn topic page so that developers can more easily learn about it.
To associate your repository with the skikit-learn topic, visit your repo's landing page and select "manage topics."