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1. Analysis-of-Pharmacological-Data-to-Predict-the-Activity-of-Enyzme-Compounds-Using-Machine-Learning Analysis-of-Pharmacological-Data-to-Predict-the-Activity-of-Enyzme-Compounds-Using-Machine-Learning Public

   This is my diploma thesis with the title "Analysis of Pharmacological Data for the Prediction of the Effectiveness of Cardio-Protective Activity" under the supervision of Dr. George Manis.

   Jupyter Notebook 4

2. CNN-vs-ANN-for-ECG-Heartbeat-Categorization CNN-vs-ANN-for-ECG-Heartbeat-Categorization Public

   In this project i trained 2 deep learning models for ECG Categorization of 5 types of heartbeat. I showed how a deep model could be trained for real world data and also showed the difference betwee…

   Jupyter Notebook 1

3. Image-Classification-on-Brain-MRI Image-Classification-on-Brain-MRI Public

   In this project i used a data set with images from brain MRI, to make a convolutional network (using Keras) to effectivly detect images that contain a tumor.

   Jupyter Notebook 5 1

4. Feature-Extraction-from-Breast-Cancer-data Feature-Extraction-from-Breast-Cancer-data Public

   In this brief project, i conduct an extented analysis on breast cancer data (data provided by https://www.kaggle.com/uciml/breast-cancer-wisconsin-data). I analyze the correlation between the featu…

   Jupyter Notebook 3

5. Covid-19-Analysis Covid-19-Analysis Public

   Extended data analysis for Covid 19 pandemic. Data was provided by CDC (https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days)

   Jupyter Notebook 3

6. Multi-Layer-Perceptron-MLP Multi-Layer-Perceptron-MLP Public

   Implemetation of Multilayer Perceptron (MLP) with 2 hidden layers and one output layer to a series of 2d vectors. The code classifies a series of data using a neural network, that we train by hand.

   Java 3