SMAC offers a robust and flexible framework for Bayesian Optimization to support users in determining well-performing hyperparameter configurations for their (Machine Learning) algorithms ... and ...

This repository features DSA problems & solutions in Python adapted from structy.net course. I created it as a resource to help others enhance their problem-solving skills and build proficiency in ...

We use advanced feature extraction techniques such as matching pursuit (MP) and discrete wavelet transform (DWT), assessing their accuracy using ensemble, SVM, and KNN algorithms. In addition, we ...