Name: Nancy Valdebenito Molina
Type: User
Company: Soluciones BI Consulting
Bio: Physical engineer. IA, Machine learning, and Deep learning. Pythonista.
Location: Santiago, Chile
Blog: https://www.linkedin.com/in/nancy-valdebenito-molina-b73816100/
Nancy Valdebenito Molina's Projects
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Deploying a Batch Scoring Pipeline for Python Models
Open source documentation of Microsoft Azure
Official community-driven Azure Machine Learning examples, tested with GitHub Actions
A python library for easy manipulation and forecasting of time series.
Elaboración de un dashboard, utilizando Flask y procesamiento de archivos con Python, para subir al geoserver.
Aplicación python dash con plotly para mostrar los resultados de manera interactiva, de un proyecto de machine learning, principalmente de clasificación supervisada, de un vuelo atrasado o no. La idea es predecir que aerolínea tendrá un vuelo atrasado.
Descarga de simulaciones CMIP6
A Python package to assess and improve fairness of machine learning models.
Comunas de Chile junto a su Latitud y Longitud
Recopila la información de correos electronicos, tanto el mensaje como los archivos adjuntos, la búsqueda se realiza por Subject
Tutorials and training material for the H2O Machine Learning Platform
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Official Kaggle API
Leaflet.Export support additional methods for export, download and print maps
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
Exercise notebooks for Machine Learning modules on Microsoft Learn
Open source platform for the machine learning lifecycle
This repo demonstrates GitHub actions to build and deploy your ML application
mlops template
MLOps using Azure ML Services and Azure DevOps
This repository contains hands-on challenges for end-to-end machine learning operations (MLOps) with Azure Machine Learning.
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Running multiple timeseries forecast with fb prophet
Portafolio Data Scientist, maqueta, usando Django, bootstrap.