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mlops

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A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bonus sections offered alongside the course such as the MLops section, native android development section and DSA classes all in one. Follow for more😁✨

  • Updated Nov 13, 2024
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The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.

  • Updated Nov 30, 2024
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Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.

  • Updated Mar 22, 2025
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AI-powered solution to predict SLA breaches, prioritize support tickets, and enhance JIRA workflow efficiency using machine learning.

  • Updated Jul 15, 2025
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