ansegura7/MachineLearning
Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts and techniques of Machine Learning, Deep Learning and NLP.
This course provides practical, hands-on examples and explanations for various machine learning, deep learning, and natural language processing concepts. It takes you from understanding data science fundamentals to implementing complex algorithms using Python code. Aspiring data scientists, machine learning engineers, and those looking to understand AI technologies will find this useful for learning foundational and advanced techniques.
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Use this if you want to learn key concepts and get practical coding experience in machine learning, deep learning, and natural language processing.
Not ideal if you are looking for a highly theoretical textbook-style course with formal proofs, or if you prefer learning without coding exercises.
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76
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12
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 25, 2023
Commits (30d)
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