belencito27 Goto Github PK
Name: Belén Sánchez
Type: User
Bio: Data Scientist
Blog: https://belensanchez.biz
Name: Belén Sánchez
Type: User
Bio: Data Scientist
Blog: https://belensanchez.biz
A quick and dirty Kaggle competition submission showcasing some of what Scikit-learn can do
Various DataRobot MLOps examples
User's custom models boilerplate
Labs from Deep Learning Certification from Deep Learning AI.
Machine Learning project to detect machine failure with SQL pipeline.
Why you should blog as a data scientist
This project predicts the locations and days of the year in Chicago where the WNV virus will be present. Based on this results the Department of Health in Chicago can organize an spray plan to prevent the appearance of mosquitos in the determined locations and mitigate the risk of appearance of new West Nile Virus cases.
House Price Predictor API. It leverages scikit-learn pipelines and builds it up into an API. This project highlights how to build and deploy a machine learning models in order to integrate them into other applications.
Streamlit chat interface powered by GPT to answer questions about installations of TV Box from Xfinity
When responding to disasters, it is critical to map and identify location of survivors needing assistance. The goal of this project was to leverage social media to map disasters.
This repository contains code to analyze tweets related to the migration from people of Venezuela. The notebook contains a Word2Vec model that classifies tweets according to needs like refugee, health, housing, etc. The classification algorithm uses cosine similarity as the main classification parameter.
Jupyter Interactive Notebook
The Inter-American Development Bank is asking the Kaggle community for help with income qualification for some of the world's poorest families . The challenge consists on identifying which households have the highest need for social welfare assistance. Here is my repo on how to solve this challenge.
This folder includes sample codes in different languages.
Inteligencia Artificial para el análsis masivo de documentos
DataRobot AutoTS ts_helpers python package
Labs and Material for Watson PoT
Web App for predicting customer churn using Streamlit
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.