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"
Empirical probability calibration study on UCI Bank Marketing with repeated holdouts, sensitivity analysis, frozen data provenance, and reproducible research artifacts.
A KNN-based Iris flower classifier — Decode Labs internship project
Industrial Distribution & Operations Intelligence Platform
To associate your repository with the scikit-learning topic, visit your repo's landing page and select "manage topics."