raulcastr Goto Github PK

Currently diving deep into 📉Data Analysis , 📊Data Science and 💻Data Engineering .

🗂️   Here i leave you links to my main projects and a small decription of them : ⤵️

• 🎹 Music Generator: Recurrent Neural Network model (LSTM) that is able to learn and predict the sequential structure of music and to choose from a discrete set of possibilities for subsequent notes, in other words: generates monophonic melodies.

• 🎵 Song Recommender: App that asks the user for a song & artist that he/she likes and based on the audio features of that song it recommends new songs from a database (gathered from Spotify API & Webscrapping) with similar audio features using Unsupervised Machine Learning algorithm (K-means clustering).

• 🌎 Tourism Analysis: Cheap Deals: Price analysis within ~1 Million airbnb accommodations and the local prices for the top 50 most visited cities around the world with the objective of finding the cheapest deals for tourists with lesser income and to find the cities where there is more economic dependence on tourism.

• 👨‍👩‍👧‍👦 Population Analysis: Comparison of the changes in the population within the different districts in barcelona regarding birth rates, inmigration rates and family income of the 2 years before and the 2 years after the latest government change to analise it's impact.

• 🎮 TicTacToe Game: Tic-Tac-Toe Based Game

📫 You can reach me on my Linkedin profile.