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cancer_detection

Identification of cancer from histopathologic scans using CNNs and transfer learning. [ONGOING]

cats_or_dogs

This project aims to develop a CNN model to distinguish between dogs and cats from a set of images.

clustering_countries

The objective of this project is to categorise countries using PCA and K-means clustering, so that NGOs identify the target group of countries for humanitarian aid. Additionally, geopandas and coordinates from a public API are used for visualisation of the clusters on a world map.

dicomhandling

employee_attrition

heart_disease_classification

Predicting the diagnosis and type of heart disease by applying multiclass classification algorithms.

houseprices

This project is focused on predicting the sale prices of houses by means of regression techniques based on a series of characteristic features.

noursan

pneumonia_detection

This project aims to develop a neural network model able to detect pneumonia disease from a set of X-Ray chest images.

quinyx

titanic

This project is focused on applying supervised machine learning algorithms for binary classification using the Titanic dataset.