kurtispykes/Machine-Learning
All content related to machine learning from my blog
This is a collection of blog articles and accompanying Python code snippets that explain fundamental machine learning concepts, algorithms, and workflows. It provides clear explanations of various ML techniques, from basic concepts to model deployment, along with practical code examples. Data scientists, machine learning engineers, and aspiring practitioners can use these resources to understand and implement ML solutions.
117 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for clear explanations and practical code examples to understand and implement various machine learning concepts and algorithms.
Not ideal if you are looking for a ready-to-use software application or a framework for building complex, production-grade machine learning systems without needing to understand the underlying principles.
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Last pushed
Mar 22, 2022
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