Pinned Repositories
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
async-fastapi-mongo
Repository housing code for the Testdriven article.
boston-housing
Project 1 of Udacity's Machine Learning Engineer course
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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.
machine-learning-nanodegree
Codes, notes and guides on Udacity's machine learning nanodegree.
Machine-Learning-Projects
Machine Learning Experiments and Work
machine_learning_examples
A collection of machine learning examples and tutorials.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Tutoriais-de-AM
Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
augoliv's Repositories
augoliv/machine_learning_examples
A collection of machine learning examples and tutorials.
augoliv/Machine-Learning-Projects
Machine Learning Experiments and Work
augoliv/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
augoliv/async-fastapi-mongo
Repository housing code for the Testdriven article.
augoliv/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.
augoliv/augoliv.github.io
augoliv/CatBoostRegressor-to-predict-House-sale-price
CatBoostRegressor to predict House sale price
augoliv/Creating-maps-in-R
Introductory tutorial on graphical display of geographical information in R.
augoliv/data-science-from-scratch
code for Data Science From Scratch book
augoliv/DS_Portfolio
augoliv/energy-weather-modelling
Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.
augoliv/GeoMLA
Machine Learning algorithms for spatial and spatiotemporal data
augoliv/geopython
augoliv/GeoStatsTutorials
Tutorials in the form of Jupyter notebooks for the GeoStats.jl framework
augoliv/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.
augoliv/Income-Prediction-Webapp
Flask based Web application for predicting the income of a person
augoliv/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
augoliv/machine-learning
Content for Udacity's Machine Learning curriculum
augoliv/Neha_MachineLearningProject
https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation
augoliv/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
augoliv/PyKrige
Kriging Toolkit for Python
augoliv/pymongo-fastapi-crud
PyMongo with FastAPI CRUD application
augoliv/pysal
PySAL: Python Spatial Analysis Library
augoliv/python-cheatsheet
Comprehensive Python Cheatsheet
augoliv/recologia
Recologia
augoliv/scipy2018-geospatial-data
augoliv/scrapy-splash
Scrapy+Splash for JavaScript integration
augoliv/sobrea
Painel Técnico sobre PVG
augoliv/sobrea2022
X Simpósio da SOBREA
augoliv/spa_notes
Notes on Spatial Analysis