Inspiration: Basic ML design, I just learned ML algorithms recently, and I use this project to test my knowledge
What it does: It recognizes hand-written digits from a test set. Accuracy is about 93%!
How I built it: Using sklearn with multiplayer perceptron, and uses numpy & matplotlib to visualize image and predictions
Challenges I ran into: Building up a proper MLP classifier, and visualizing image by reshaping it to matrix form
Accomplishments that I'm proud of: The result :-) It achieved 93% accuracy with a max_iter = 200. Also I got familiar with Kedro haha:)
What I learned: Kedro is a useful tool. It modularises your code.
What's next for Best of Kedro: Try to do more CV work. Maybe hand-pick some features and start a project from scratch
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