Notebook tutorials for Python Programming Language (Fundamentals, OOP, MVT, Frameworks, Django, Machine Learning, NLP)
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:
A Collection of Notebooks to help machine learning and deep learning enthusiasts explore fundamentals and understand concepts in Python . This will also be a guide to do your experiments on hyper parameters , network building or other programming heuristics .
Jupyter notebooks on machine learning fundamentals, including classification and regression methods with practical implementations. Created as part of the Artificial Intelligence 2024 course at UIB.
Playing around with Javascript fundamentals.
A repository of Jupyter notebooks showcasing a range of PyTorch applications, from foundational concepts and linear regression to neural network models for image classification tasks.
Comprehensive collection of Jupyter notebooks exploring foundational concepts and practical applications of neural networks with PyTorch, following Andrej Karpathy's walkthrough.
Add a description, image, and links to the fundamentals topic page so that developers can more easily learn about it.
To associate your repository with the fundamentals topic, visit your repo's landing page and select "manage topics."