This is the second workshop in a series of 2 workshops where we will begin by learning basic machine learning models, namely SVM, KMeans, KNN, and Linear Regression. Then, we will talk about the difference between MLP and CNN, and we will also use MLP to make our own Handwritten Digit Recognizer. We will use the sklearn library of Python for the coding.
Event page for the first workshop: https://gdsc.community.dev/e/mcmp76/
GDSC @ UC Davis
Operations Director
GDSC@UC Davis
Tech Lead
GDSC@UC Davis
Tech Lead
GDSC@UC Davis
Tech Lead
GDSC Lead