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- [Interview](#interview)
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- [Others](#others)
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- [Conclusion](#conclusion)
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## 📘 Theory of Machine Learning Workflow
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Machine learning (ML) is a subset of artificial intelligence that focuses on building systems capable of learning from data, identifying patterns, and making decisions with minimal human intervention. The machine learning workflow is a structured approach that guides practitioners through the stages of developing effective models.
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Through these stages, the machine learning workflow provides a systematic approach to building, validating, and deploying models that can yield valuable insights and drive decision-making across various domains.
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<p align="center">
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<img src="https://raw.githubusercontent.com/alo7lika/machine-learning-repos/refs/heads/main/Machine%20Learning%20Workflow%20Flowchart(1)(1).png" width="600" />
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<img src="https://raw.githubusercontent.com/alo7lika/machine-learning-repos/refs/heads/main/Machine%20Learning%20Workflow%20Flowchart(1)(1).png" width="400" />
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</p>
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### Roadmap
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> This is a roadmap, we can refer to for starting with machine learning.
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#### Machine Learning

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