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mlBootcamp

#Flowers #This was my first project using machine learning #I followed the tutorial to understand how get the data and analyze it using a graph. #Then I tested using multiple models that I knew of. I started with Linear and logistic growth, where logistic growth worked better. However, after using random forest, I got a 100% f1- score which is the best indicator of scess, thus I used this model

#Digital numbers This was my second project using neural networks. I understood the theory behind neural networks and using the tutorial I made this project. I understood how to use the basics of tensor and am planning to make my own neural netwrok from scratch as a personal project.

#Cats and dogs This was my third project. This was the hardest by far because it required a lot of my own work rather than following a tutorial, I ended up with .71 which was ok, but I wanted to be above .8 for accuracy.

#MESSI RAG This was a good project, just did not completely work due to the faulty API, the code is all correct though.

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