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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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2. car-price-prediction-python car-price-prediction-python Public

   The goal of the project was to predict the price based on the given attributes of the car. It was done in Python, using Machine Learning techniques like Simple Linear Regression, Multiple Linear Re…

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3. wine-quality-prediction-implementation-random-forest-from-scratch wine-quality-prediction-implementation-random-forest-from-scratch Public

   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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