ozkary/machine-learning-engineering
Welcome to the Machine Learning Engineering Repository, a comprehensive collection of resources, code, and insights to guide you through the exciting world of machine learning. This repository is designed to provide valuable information, best practices, and hands-on examples for individuals keen on mastering the art and science of machine learning
This repository is a resource for understanding and applying machine learning to real-world problems. It provides guidance on fundamental concepts, algorithms, data preparation, model selection, and deployment strategies. Anyone looking to leverage data for predictions or automated decisions, from beginners to experienced practitioners in various industries, will find valuable information and practical examples.
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Use this if you are an aspiring or current machine learning engineer, data scientist, or analyst who needs to build, evaluate, and deploy predictive models for tasks like predicting health risks, vehicle prices, drug interactions, or manufacturing quality.
Not ideal if you are looking for a plug-and-play software tool that requires no coding or understanding of machine learning principles.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Feb 25, 2025
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