Augusto Oliveira's repositories
maracanau
Projeto PGVI Maracanau
python-cheatsheet
Comprehensive Python Cheatsheet
fastapi_mongodb
This article will teach you how to create a CRUD RESTful API with Python, FastAPI, PyMongo, MongoDB, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.
sobrea2022
X Simpósio da SOBREA
pymongo-fastapi-crud
PyMongo with FastAPI CRUD application
async-fastapi-mongo
Repository housing code for the Testdriven article.
sobrea
Painel Técnico sobre PVG
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
energy-weather-modelling
Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.
GeoStatsTutorials
Tutorials in the form of Jupyter notebooks for the GeoStats.jl framework
CatBoostRegressor-to-predict-House-sale-price
CatBoostRegressor to predict House sale price
GeoMLA
Machine Learning algorithms for spatial and spatiotemporal data
PyKrige
Kriging Toolkit for Python
article-resources
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Income-Prediction-Webapp
Flask based Web application for predicting the income of a person
machine_learning_examples
A collection of machine learning examples and tutorials.
Machine-Learning-Projects
Machine Learning Experiments and Work
recologia
Recologia
pysal
PySAL: Python Spatial Analysis Library
data-science-from-scratch
code for Data Science From Scratch book
Neha_MachineLearningProject
https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation
Creating-maps-in-R
Introductory tutorial on graphical display of geographical information in R.
spa_notes
Notes on Spatial Analysis
scrapy-splash
Scrapy+Splash for JavaScript integration
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
machine-learning
Content for Udacity's Machine Learning curriculum