GitHub - PanicMilica/Crop-Classification: In this project, I built 140 models using Random Forest, Naive Bayes, KNN, Catboost, Dense, CNN and MLP classifier. I used pandas, numpy and tensorflow. The goal was to predict the classes of crop based on satellite images. This was also a kaggle competition where I won first place.

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In this project, I built 140 models using Random Forest, Naive Bayes, KNN, Catboost, Dense, CNN and MLP classifier. I used pandas, numpy and tensorflow. The goal was to predict the classes of crop based on satellite images. This was also a kaggle competition where I won first place.