Week 10 Post 1

Today I finally met with Mythra for the first time after five weeks of him being absent from the lab. Since the morning, I have been excited to meet with him and show him the progress that I have made throughout my journey as a researcher. I had everything prepared for the meeting, all the files with code and all the files from my dataset. In fact, Mythra is one of the most intelligent and experienced people in the CS and AI field that I have ever met, so I was a little nervous to show him the things that I have been working on because I know they are not perfect and still need some improvement. The moment Mythra looked at my code, he understood all the problems and ways of fixing those problems. It turns out that my kNN algorithm is not working correctly with my dataset because the data points on my scatterplot were not normalized before I interpolated the data points. Apparently, I have to go back to normalization of my dataset before going into interpolation and interpolate everything all over again. The problem is that the kNN algorithm is sensitive to distance since it uses the euclidean distance algorithm, so my data points, when interpolated, were not interpolated correctly because they were not being normalized. I understood the assignment, and for the whole day, I tried to understand the idea and implementation of the normalization. I tried several things, but it did not work yet. I feel like I will be able to finish this task and hopefully apply the kNN algorithm to my dataset to train and predict the data points in the dataset. 

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