miguelperosanz
Ph.D. in Physics. Fan of data analysis, data science, machine learning and software development.
Data Science RetreatMunich, Germany
Pinned Repositories
Bitcoin
Some statistics about bitcoin and its time evolution.
Contradictory-my-dear-Watson-Kaggle-competition
FIFA_teams_data_scrap
Script to scrap the database from the teams of every year of the videogame "FIFA". The data are scratched from the web sofifa.com, an excellent data base of football teams.
Finance_NLP
Football-players
Are left footed players better than right footed? Who's the best header in the world? Who's the fattest? Data science and sport, a lovely combination.
Loans_prediction
Creation of a model based on historical data loans in order to predict if a borrower would potentially pay back a loan.
Math_problems
Players_and_coaches
Little Database App developed in C# with ASP.Net and MVC
Tensorflow-football-model-1
I developed this script based on the Tensorflow neural network in order to predict the number of goals in a football match based on the last 4 years results of La Liga. The script converts the games into dummy variables. The script was developed in a tensorflow environment (Firstenv). In a standard environment the import of the tensorflow environment will lead to problems. The results are far away of being accurate but actually the purpose was to learn to use the Tensorflow library from google.
Tensorflow-football-model-2
Script that uses the Tensorflow neural network to predict betting-odds in a football match using tensorflow. The script uses the team-ratings before every match from the FIFA videogame database. The script should be executed in a Tensorflow environment (Firstenv). In a standard environment there might be issues when importing Tensorflow
miguelperosanz's Repositories
miguelperosanz/Tensorflow-football-model-2
Script that uses the Tensorflow neural network to predict betting-odds in a football match using tensorflow. The script uses the team-ratings before every match from the FIFA videogame database. The script should be executed in a Tensorflow environment (Firstenv). In a standard environment there might be issues when importing Tensorflow
miguelperosanz/Finance_NLP
miguelperosanz/FIFA_teams_data_scrap
Script to scrap the database from the teams of every year of the videogame "FIFA". The data are scratched from the web sofifa.com, an excellent data base of football teams.
miguelperosanz/Tensorflow-football-model-1
I developed this script based on the Tensorflow neural network in order to predict the number of goals in a football match based on the last 4 years results of La Liga. The script converts the games into dummy variables. The script was developed in a tensorflow environment (Firstenv). In a standard environment the import of the tensorflow environment will lead to problems. The results are far away of being accurate but actually the purpose was to learn to use the Tensorflow library from google.
miguelperosanz/Bitcoin
Some statistics about bitcoin and its time evolution.
miguelperosanz/Contradictory-my-dear-Watson-Kaggle-competition
miguelperosanz/Football-players
Are left footed players better than right footed? Who's the best header in the world? Who's the fattest? Data science and sport, a lovely combination.
miguelperosanz/Loans_prediction
Creation of a model based on historical data loans in order to predict if a borrower would potentially pay back a loan.
miguelperosanz/Math_problems
miguelperosanz/Players_and_coaches
Little Database App developed in C# with ASP.Net and MVC
miguelperosanz/Sales-predictions-Kaggle-competition
miguelperosanz/Sentiment_analysis
Natural Language Processing and Stock Market and Cryptocurrencies. These are the files that me and my project colleagues used for the project from the Bootcamp "Data Science Retreat" in Berlin (Batch 22)