בעיות

The goal of this problem is to build an image classification model that distinguishes between normal and abnormal ECG images. Each image represents the electrical activity of the heart for a patient. The model must learn relevant visual patterns and generalize correctly on unseen data.

Chess piece image classification aims to recognize the type of each piece (`bishop`, `knight`, `pawn`, `queen`, `rook`) from images. Your task is to build a model that correctly differentiates the pieces and generates predictions for the test set.

Groups of 4 verses from Romanian poems written by one of 7 authors are provided: Ana Blandiana, George Bacovia, George Toparceanu, Grigore Vieru, Lucian Blaga, Mihai Eminescu and Vasile Alecsandri. The goal is to build a model that can predict the author of each group of verses.

News Editorial is a text classification problem where you need to automatically assign a category to each press article based on its content. Using the labeled articles from train.csv, you will train a model that predicts the labels for the unlabeled articles in test.csv.

This year, due to the record number of well-behaved children, Santa Claus was forced to create multiple magical duplicates of himself to be able to reach everywhere on time. However, this magic led to confusion, as in the images captured on Christmas night it's no longer clear how many Santas actually appear. Your mission is to help save Christmas by correctly identifying the number of Santas in each image.

An avalanche of Christmas images reaches Santa Claus's workshop, but not all of them actually capture him. Your task is to train an image classification model that decides whether an image contains Santa Claus or not. The performance of your solution will be evaluated using the F1-score.

To demonstrate that Y is 'cleaner, faster, and smarter,' Melon Husk asks you to build an automated system that detects problematic chirps (spam, noisy, or irrelevant content) and separates them from normal ones.

Automated Alzheimer’s disease diagnosis prediction system

Training a model to identify the word in an image