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  1. Sign_Language_Digits_Recognition Sign_Language_Digits_Recognition Public

    I built a model for recognizing numbers in sign language displayed on images. The model reached 98% accuracy levels on a Kaggle dataset. I trained a CNN for this task, using data augmentation metho…

    Jupyter Notebook

  2. Cyberbullying_Classification Cyberbullying_Classification Public

    I classified tweets into one of several categories: gender, religion, age, ethnicity, not cyberbullying, or other cyberbullying. I used Python libraries like Pandas, NLTK, Scikit-Learn, XGBoost, an…

    Jupyter Notebook

  3. Heart_Failure_Survival_Prediction Heart_Failure_Survival_Prediction Public

    Using data about patients with a heart disease, I created a prediction model for the death event of a patient. I did extensive data preprocessing, added meaningful visualizations, and eventually cr…

    Jupyter Notebook

  4. Fake_News_Classifier Fake_News_Classifier Public

    Given real and fake news dataset from Kaggle, I created a classifier that is able to detect fake news based on its title or content . I used spacy library for text preprocessing and sentiment analy…

    Jupyter Notebook

  5. Water_Potability Water_Potability Public

    Classify examples of water with different chemical paraemetrs into potable and not potable categories. The examples on the dataset have very similiar values, hence the classification process is ver…

    Jupyter Notebook

  6. Wine_Quality_Regression Wine_Quality_Regression Public

    Given chemical properties of wines (pH, acidity, alcohol levels, etc.) and their quality (values in range 1-10) I trained a Linear Regression for predictig the quality of a wine. The major challeng…

    Jupyter Notebook