This is a collection of all the challenges that I will take in order to learn and grasp all the concepts in the areas of Machine and Deep Learning.
Categorical competition from Kaggle. You have to predict the outcome of a horse (lived, died or euthanized) using the provided dataset using f1-score.
Original Horses Health Kaggle Challenge
Additional data from the original dataset of the challenge was also included to improve the model's performance Original horses data
My implementation can be found here
https://github.com/XaviRS95/DataScienceChallenges/tree/main/Classification/Loan-Challenge Binary classification competition from Hacker Earth where you need to find out if a bank client that asked for a loan will default it or not. For this, a dataset of 600k+ rows is provided and roc-accuracy was the metric used to determine the winner.
https://github.com/XaviRS95/DataScienceChallenges/tree/main/Classification/Titanic-2912
https://github.com/XaviRS95/DataScienceChallenges/tree/main/Classification/Titanic