Project for real-time anomaly detection using Kafka and python
-
Updated
Dec 4, 2022 - Python
Project for real-time anomaly detection using Kafka and python
Features injected recurrent neural networks for short-term traffic speed prediction
A reproducible, leak-free machine learning benchmarking lab for regression model comparison, cross-validation, diagnostics, experiment tracking, and interactive Streamlit-based inference using the California Housing dataset.
AI-powered phishing URL detection system using Machine Learning and Streamlit that analyzes website URLs and predicts whether they are safe or phishing.
Churn prediction pipeline with Python and scikit-learn. Focus on data processing, modeling and analysis.
“An independent predictive sports analytics model designed to classify table tennis match dynamics and evaluate player tactical features"
A KNN-based Iris flower classifier — Decode Labs internship project
Industrial Distribution & Operations Intelligence Platform
Empirical probability calibration study on UCI Bank Marketing with repeated holdouts, sensitivity analysis, frozen data provenance, and reproducible research artifacts.
To associate your repository with the scikit-learning topic, visit your repo's landing page and select "manage topics."