Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
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Updated
Sep 2, 2020 - Python
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
my projects and program in AI
Implementing the feedforward/backpropagation algorithm and for a 2 later neural network and applying it to the MNIST dataset.
Various ML models built from scratch as an implementation for the Stanford's Andrew Ng intro ML course
This project contains the solution to all the programming assignment of Prof. Andrew NG's Machine Learning course on Coursera. All the solution are written in python, the directory structure, file names and program flow is kept almost same as the Octave one. There is a .py file corresponding to every .m file in the assignement
Linear Regression Programming Exercise - from Andrew Ng's 'Machine Learning' Coursera course - written in Python
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