I got this homework, and I have hard time understanding. I would deeply appreciate if you help me to solve problems. HW3 classification, clustering, dimensionality reduction Perform binary classification, clustering, and dimensionality reduction on the attached dataset for squares and triangles. This is a dataset, which I personally have hand-written and digitized for you. Please use scikit-image for reading this figure and convert it to grayscale before analysis. I'm going to send a notebook next weekend to provide you some hints from my solution notebook, after I finish making it readable for you. Please remember that 80-90% of task is actually cleaning the data before applying ML algorithms on it. Whoever gets 100% accuracy on this dataset for classifying squares and triangles before next hint is sent out is going to get 100% in this class. You can do this exercise without clustering and dimensionality reduction, but it would help a lot. Mostly likely you will not find this problem anywhere, so please don't waste your time trying to copy. Enjoy! 2 attachments (211 KB) Download all

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