Milaan Parmar / Милан / 米兰 's Projects
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
An introduction to feature selection in data science using Python (NumPy, Pandas, Scikit-learn) with Jupyter notebooks.
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
TheAlgorithms/Python