This library help to create models with identifiers, checkpoints, logs and metadata automatically, in order to make the training process more efficient and traceable.
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Mar 7, 2023 - Python
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mlworkflow
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In today's fast-paced world, efficient food delivery is crucial. This project presents a robust and modular end-to-end machine learning pipeline designed to predict food delivery times. By leveraging a rich dataset containing delivery personnel details, restaurant locations, order information, and environmental factors like weather and traffic.
python mlops mlpipeline machine-learning-pipeline mlworkflow food-delivery-time-prediction modular-coding
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Mar 4, 2025 - Python
python random-forest eda logistic-regression decision-trees xgboost-classifier adaboostclassifier mlworkflow
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Jun 18, 2025 - Jupyter Notebook
Week 1 of my AI/ML Internship at DevelopersHub 🚀 — built a disease prediction model using patient data. Explored the UCI Cleveland dataset, handled missing values, ran EDA, and compared Logistic Regression vs Random Forest. Random Forest achieved 90.16% accuracy ✅
python internship ai eda datascience randomforest machinelearning logisticregression mlworkflow healthcareai
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Aug 24, 2025 - Jupyter Notebook
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