gsihag

classification-using-knn

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

coursera_ML_specialization

ML_algorithms_from_scratch

my-leetcode-submissions

naive_bayes_from_scratch

this code represents naive bayes algorithm built from scratch. It can also work well with missing values.

probability-using-python