We started this week with the exam of the curricular unit of PPROGIA.
AAUT1IA:
We started the first practical class of the week by explaining to the teacher the themes and datasets we had thought of and what we were thinking to follow.
The Spotify Hit Predictor Dataset – https://www.kaggle.com/theoverman/the-spotify-hit-predictor-dataset?select=dataset-of-00s.csv
The teacher liked our dataset, giving us some ideas of what we could use. Among the various ideas, was suggested to use the “Filter Selection” in our dataset, which will allow us to reduce some existing filters without affecting the final result. That will optimize the whole process.
The teacher also advised us to find some published articles about our dataset, this time it’s easier to prove results since there are already tests on it.
Articles:
- Song Hit Prediction: Predicting Billboard Hits Using Spotify Data – https://arxiv.org/abs/1908.08609«
- Hitpredict: Predicting Hit Songs Using Spotify Data – http://cs229.stanford.edu/proj2018/report/16.pdf
- A Model for Predicting Music Popularity on Spotify – https://program.ismir2020.net/static/lbd/ISMIR2020-LBD-433-abstract.pdf
- Hit or not? – https://aaltodoc.aalto.fi/bitstream/handle/123456789/109727/master_M%C3%A4kel%C3%A4_Gabriel_2021.pdf?sequence=1
Two ideas of how to connect both curricular units in the theme:
PLNTDIA:
In this week’s practical class, we began by analyzing some decision-making procedures. We had to develop a technique to understand the highest point in a function. To this end, we have adopted the strategy of the following picture:
