dg-veiga

cart-pole-reinforcement

Google gym AI cart pole system control with RL

django-image-analyser

django-jwt-analysis

django-titanic-classification

Django app developed based on the Kaggle machine learning competition where the data scientist is asked to build a model to predict the chance of survivance of each passenger on the world's most famous shipwreck.

django_gis_ops_api

ecommerce-react-redux-django

flask-cache-with-mongo

Caching data on mongo using a Flask API

flask-kubernetes-app

flask-redis-queue

kaggle-house-pricing-regression

How to predict sales prices and practice feature engineering, RFs, and gradient boosting. Based on the competition hosted on Kaggle. Link=[https://www.kaggle.com/c/house-prices-advanced-regression-techniques]

dg-veiga/video-store

dg-veiga/python-n-body-simulator

Python N-Body Simulator

dg-veiga/robot-arm-5dof

dg-veiga/flask-redis-queue

dg-veiga/mkdocs_resume

My personal resumé

dg-veiga/myfinance-web-dotnet

Sistema de finanças pessoais - Avaliação PUC Minas, Eng. de Software

dg-veiga/projeto-integrado-puc

Aplicação WEB PetPal

dg-veiga/flask-kubernetes-app

dg-veiga/django_gis_ops_api

dg-veiga/cart-pole-reinforcement

Google gym AI cart pole system control with RL

dg-veiga/django-jwt-analysis

dg-veiga/flask-cache-with-mongo

Caching data on mongo using a Flask API

dg-veiga/django-image-analyser

dg-veiga/django-titanic-classification

Django app developed based on the Kaggle machine learning competition where the data scientist is asked to build a model to predict the chance of survivance of each passenger on the world's most famous shipwreck.

dg-veiga/teste-topaz

dg-veiga/kaggle-house-pricing-regression

How to predict sales prices and practice feature engineering, RFs, and gradient boosting. Based on the competition hosted on Kaggle. Link=[https://www.kaggle.com/c/house-prices-advanced-regression-techniques]

dg-veiga/plantmanager-react-native-nlw5

dg-veiga/ecommerce-react-redux-django

dg-veiga/moveit-nlw4-reactjs-nextjs

dg-veiga/todo-list-django

dg-veiga/pipe-nesting

Python function designed to nest linear parts (cuts of bars, pipes, beams) into blanks along the lenght using a naive approach.