People counting
This project counts people by defined zones using the Yolov module and Ultralytics.
This project analyzes data scientist salaries for 2023. Univariate and bivariate analysis is performed. Correlation and prediction using ML algorithms are carried out for salary prediction.
This project performs the data collection of scientific text using web scraping. Unstructured data is analyzed using NLP techniques and transformers.
In this work, a predictive model of parking availability is developed to improve the vehicle parking experience in Freiburg in Baden-Württemberg. Germany. In the posterior stage, the model will be integrated into a new app, informing the customer of the slot availability at arrival time.
This project analyzes the implementation of multiple machine learning for credit risk assessment based on customer features. EDA is also performed.
This projects uses bayesian inference and bayesian algorithms to predict if a message is spam or not.
This project collects, analyzes, and uses machine learning algorithms to predict the car price in the UK market. Bayesian optimization is also performed. The models are deployed into a web app. The feature contributions in the price are determined.
This project predicts the software developer’s salary based on user inputs. The data was obtained from the Stack Overflow Survey 2021. The data app was developed using the Streamlit framework providing an intuitive user interface.
This project counts entire and broken seeds from an image. This MVP was developed in a green agriculture project for an Argentina Company.
This project performs the price prediction of new and used cars in the Argentina Market. MVP to test user is vedeloped. Real-Data is collected, cleaned and analyzed from the marketplace based on vehicle features.