amirziai/learning
Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python
This is a collection of educational notebooks designed for students, researchers, or practitioners learning about various computational and statistical topics. It provides explanations and examples across areas like machine learning, deep learning, algorithms, and statistics, helping you grasp complex concepts. You would use this to understand core principles and see practical applications in different programming languages.
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Use this if you are studying or teaching computational methods, data science, or advanced programming topics and need clear, practical examples.
Not ideal if you are looking for a plug-and-play tool or library to solve a specific business problem without needing to understand the underlying theory.
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71
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 19, 2023
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