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amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

centros_htmx

covid_colombia_drf

A Very simple Rest API for covid cases in Colombia using Djangorestframework. Hosted on Heroku

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

diplomado

Este es un repositorio creado para el diplomado en Inteligencia Artificial y Aprendizaje Profundo

feature_engine

Feature engineering package with sklearn like functionality

feature_raster

A Library to transform satellite images to pandas objects, create indexes and allows you to play with scikit-learn

forest_cover_prediction

This is my ML solution for the forest cover prediction on Kaggle

geoai-immap

Mapping Informal Settlements in Colombia using Machine Learning

homework

imdb-clone-drf

Django REST Framework Course - IMDB Clone

iris_xgb

A simple API to predict IRIS with FastAPI

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

my_rest_api_hbm

package_deployment_learning

Learning deployment and mkdocs

rote_satio

testing-and-monitoring-ml-deployments

Example project for the course "Testing & Monitoring Machine Learning Model Deployments"

unetseg

U-Net semantic segmentation for satellite imagery

wildfiredetection

Using U-Net Model to Detect Wildfire from Satellite Imagery

xarray

N-D labeled arrays and datasets in Python