machine-learning-pipeline-deployment

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SHALINISAURAV / Multi_Model_ML_Visualizer

An interactive Streamlit ML platform to upload datasets, train multiple classification models, compare performance metrics, and visualize ML results.

python data-science machine-learning numpy scikit-learn machine-learning-algorithms pandas seaborn artificial-intelligence classification matplotlib classification-algorithims model-compression machine-learning-systems streamlit machine-learning-pipeline machine-learning-pipeline-deployment end-to-end-ml ml-visualization

Updated Jul 15, 2026
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md-marop-hossain / Hybrid-Log-Classification-System-with-Deepseek-R1-LLM-BERT-NLP-and-Regex

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Hybrid system for automatic log classification: uses Regex for known patterns, BERT for logs with training data, and Deepseek R1 LLM for rare cases. Boosts accuracy and speeds up error, threat, and event detection for enterprise IT operations.

natural-language-processing sentence-transformers machine-learning-pipeline-deployment deepseek-r1 regex-pattern-matching

Updated May 10, 2025
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Amol9805 / LapPredict-Laptop-Price-Prediction-End-to-End-ML-API-Docker

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LapPredict is an end-to-end machine learning project that predicts laptop prices using specifications and brand data. It leverages feature engineering, encoding, and an optimized XGBoost model (R² ≈ 0.91). Built with Pipeline and ColumnTransformer, it is deployed via Streamlit for real-time, scalable price predictions.

pipeline machine-learning-algorithms regression-models model-evaluation one-hot-encoding ordinal-encoding streamlit-webapp machine-learning-pipeline-deployment