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  1. Cybersecurity-ML-Based-IDS-System Cybersecurity-ML-Based-IDS-System Public

    Intrusion Detection System (IDS) based on Machine Learning Algorithms (RandomForest and KNN) for network traffic analysis. It includes data preparation, model development, evaluation, and explainab…

    Jupyter Notebook

  2. Fire-Detection-with-CNNs Fire-Detection-with-CNNs Public

    Fire Detection on images using Xception and dense CNNs: This project uses convolutional neural networks (CNNs) to detect fire in images, comparing the performance of three different models and visu…

    Jupyter Notebook

  3. M4-Competition-Time-Series-Forecasting M4-Competition-Time-Series-Forecasting Public

    Data from the M4 time series forecasting competition is analyzed using six different prediction methods. Various metrics are employed to compare the results, including NRMSE, RMSE, MSE, MAPE, and M…

    Jupyter Notebook

  4. Metrics-Optimization-Supervised-Models Metrics-Optimization-Supervised-Models Public

    This practical exercise focuses on the application of fundamental metrics for Data Analysis and on developing machine learning solutions through regression and classification tasks using sklearn.

    Jupyter Notebook

  5. Naive-Bayes-Text-Classification Naive-Bayes-Text-Classification Public

    Classification of scientific articles on cancer types (thyroid, colon, lung) from a Kaggle dataset. Involves exploratory data analysis, feature extraction, model training with Naive Bayes, and per…

    Jupyter Notebook

  6. Stock-Market-Prediction-ICAG-AIRF Stock-Market-Prediction-ICAG-AIRF Public

    Stock price prediction study of ICAG and AIRF from January 2019 to October 2023 using linear and non-linear regression, analyzing additional variables like Open, High, Low, Volume, and Change % for…

    Jupyter Notebook