khanhney/ml-mastery-guide
A comprehensive, practical roadmap for mastering Machine Learning and Deep Learning.
This guide provides a comprehensive learning path for individuals aiming to become proficient in Machine Learning and Deep Learning. It takes you from foundational statistical concepts and data preparation techniques through core algorithms, advanced ensemble methods, and neural networks, culminating in natural language processing and large language models. The content includes mathematical formulas, code examples, and real-world applications, ideal for someone looking to acquire practical skills to build and deploy ML solutions.
Use this if you are an aspiring ML engineer or data scientist who needs a structured, practical curriculum to master machine learning and deep learning, with clear progression from basics to advanced topics.
Not ideal if you are a seasoned expert primarily seeking a quick reference for niche topics or looking for a theoretical academic textbook without practical code examples.
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Dec 13, 2025
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