leoiania

20-NewsGroup-Classification

The dataset, which is very popular in NLP tasks, contains about 20.000 documents divided into 20 categories. Our task was to classify the documents based on their content with three approaches: Machine Learning, Neural networks, Transformers.

controlnet_aux

food_sam_updated

Graduates-Admission-Bayesian-Prediction

Graduates Admission Prediction following a Bayesian approach

interviews-data-science-assignment

Xtream assignment for Data Science interview

leoiania

Red-Wine-Quality

Binomial and multinomial approach to classify red wine quality using R

roop

Based9Based version of ROOP, No NSFW Filter, No ERRORS ;)

Super-Simple-Text-to-Speech-with-Python-and-Google-Colab

utk-age-and-ethnicity

This project was done for the Deep Learning for AI course. Starting from the UTK Face Dataset we created two different neural networks to predict the ethnicity and the age of the people in the dataset using their pictures. The labels are written in the file name - there is also the sex label, but we didn't use it.

wind-energy-germany-analysis-and-forecast