A streamlit app for interactive visual analysis on the spread of COVID-19 virus worldwide.

101 Super Streamlit Applications-This interactive web application collection serves as a showcase of my data science and machine learning projects. With a passion for data-driven insights and a knack for creating engaging data applications, I am excited to present this portfolio as a demonstration of my skills and expertise.

Modin: Scale your Pandas workflows by changing a single line of code

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

A Daily Data-Learning Progress Record

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.

Drag-and-drop Python webapps

Internship in Brainwave Matrix Solutions in Data science/Data Analytics

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Panel: The powerful data exploration & web app framework for Python

Cosas relacionadas con el Open Data

Open-source observability for your LLM application, based on OpenTelemetry

The Gretel Python Client allows you to interact with the Gretel REST API.

Hands on Lab for Neo4j and Vertex AI

Turns Data and AI algorithms into production-ready web applications in no time.

Lego AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements.

Renku provides a platform and tools for reproducible and collaborative data analysis.

The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability about text classifiers. Should it be possible to apply complex network? Let's try.

This repository is dedicated to showcasing comprehensive data science projects that cover the entire data science life cycle. Each project demonstrates my proficiency in various data science techniques, from data collection and cleaning to model building and deployment.