Machine Learning Concepts And Models using Octave and Jupyter Notebook
A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.
Python notebooks from Stanford’s Machine Learning specialization, covering supervised learning, unsupervised techniques and advanced algorithms.
A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy
This project demonstrates the implementation of a DC GAN, a type of generative model that can generate realistic synthetic images. The code is implemented in Python and is available as a Colab notebook.
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