During this week we started to make some changes to the dataset so that we can move on to the pre-processing. After the changes, we started the pre-processing part with assistance to PL1 of the curricular unit of AAUT1IA. At the same time, we also started trying to find some solutions for the planning part, trying to figure out which algorithms to use to proceed with the conclusion we want to get.
In the second practical class of the week, we completed the pre-processing and started analyzing the data, trying to understand how it will be useful to us for the next phase.
Obtained Results:
For the planning part, we closed the final idea. It will consist of choosing the parameters of the dataset (danceability, energy, key, loudness…), or choosing a song that gives us the respective parameters, and with these results, create a playlist for the user.
PLNTDIA
This week we start by having a theoretical PLNTDIA class giving some concepts of linear programming, including the simplex method and research method.
AAUT1IA
In the TP classes of AAUT1IA, we move by addressing the basic concepts of machine learning and its different types.