My project is about logistic regression with a NN mindset. I will be using cat pictures to test the model that I trained through this logistic regression, judging if it is a cat or noncat photo. This type of machine learning model is pretty crucial to the everyday world as many of the same concepts of face recognition and other stuff all go back to this project. I built this project through python and also with the help of my cousera course and some challenges that I faced were definitely trying out this using vectorized form which is way more efficient (I did some projects without vector format and it was annoying). I definitely learned a lot through this project, especially the machine learning mindset, and look forward to future bigger projects I can create once I have more experience.
Github Code: https://github.com/joshkabloomy/projects (it should be the sparkhub one)
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