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MLOps-Courses
Convert notebook prototypes into a distributable Python package with a src layout, a domain/io/application split, and validated OmegaConf plus Pydantic configuration. Us…
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Explore the skillMLOps-Courses
Convert notebook prototypes into a distributable Python package with a src layout, a domain/io/application split, and validated OmegaConf plus Pydantic configuration. Us…
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Make an ML system a glass box with reproducible runs, MLflow dataset lineage, drift monitoring, alerting, and SHAP explanations. Use when a deployed model needs traceabi…
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Structure reproducible Jupyter notebooks with a fixed section layout, hoisted configuration, and leakage-free scikit-learn pipelines. Use when exploring a dataset, train…
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Add the validation layers that gate a merge — ty typing, Ruff linting, pytest coverage, structured logging, and the trivy, pip-audit, and gitleaks scans. Use when harden…
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Designing end-to-end weekly stock report generation using LSTM and Agentic AI. Deploying on AWS with MLOps practices.
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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 includ…
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A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
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MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML trai…
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It contains interview preparation notes provided by iNeuron, important links, MLOps resources
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An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI…
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Blackdagger is a DAG based automation tool specifically used in DevOps, DevSecOps, MLOps, MLSecOps, and Continuous Red Teaming (CART).
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Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
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Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases