Complete solutions in Python to Andrew Ng's classic Machine Learning course (from scratch implementation with Numpy)
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Week 5 implemented a fully vectorized version of the regularized cost function J
d5e864eView on GitHubWeek 5 implemented a fully vectorized cost function for neural networks
4a43968View on GitHubWeek 4 implemented a cheatsheet for Multi-class classification
3d83722View on GitHubWeek 2 added some improvements to the cheatsheet for this weekend
a9b8ba4View on GitHubWeek 9 implemented Collaborative Filtering Gradient function
d3631fbView on GitHubWeek 9 implemented function for calculating colaborative filtering cost
691e296View on GitHubWeek 9 implemented function for estimating gaussian parameters
de8a39cView on GitHubWeek 8 implemented PCA function for recovering the x projected data from z
1f36c25View on GitHubWeek 8 implemented function for PCA that projects data into k dimension
9578f6cView on GitHubWeek 8 implemented PCA function which calculates U matrix for PCA
b4ec464View on GitHub