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  • Faculty of Science, University of Novi Sad
  • Novi Sad, Serbia

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  1. Crop-Classification Crop-Classification Public

    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 …

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    I implemented the Random Forest Algorithm, from the scratch, to predict the quality of red wine. The algorithm proved to be quite accurate.

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  4. 120-years-od-Olympic-games-Exploratory-Analysis-python 120-years-od-Olympic-games-Exploratory-Analysis-python Public

    Exploratory Data Analysis of Olympic games, using the Seaborn library. The first step was to clean the data, then to examine it and finally to visualize the data in order to make the necessary con…

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