Pinned Repositories
cnn-bayesian-optimization
Implemementação de uma otimização bayesiana aplicada a uma rede neural convolucional.
covid19-chest-x-ray-detection
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
grid-search-experiment
In this experiment we'll use Grid Search to find better parameters for this model, to reduce the overfitting.
nyc-airbnb-data-analysis
Um projeto “end-to-end” de Machine Learning em dados do Airbnb.
optimization-problems
pairs-trading-strategy
How to build a simple pairs trading strategy in Python.
quant-experiments
Quantitative Research Experiments
sw-effort-predictive-analysis
In this project, Basic Machine Learning concepts were built on Desharnais dataset to built a software effort estimation model using a linear regression model. This statistical model was developed using a non-parametric linear regression algorithm based on the K-Nearest Neighbours (KNN).
toniesteves's Repositories
toniesteves/ny-airbnb-streamlit-app
A simplest streamlit app with Airbnb exploratory data analysis.
toniesteves/toniesteves.github.io
toniesteves/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
toniesteves/nyc-airbnb-data-analysis
Um projeto “end-to-end” de Machine Learning em dados do Airbnb.
toniesteves/optimization-problems
toniesteves/pairs-trading-strategy
How to build a simple pairs trading strategy in Python.
toniesteves/quant-experiments
Quantitative Research Experiments
toniesteves/adam-geitgey-building-deep-learning-keras
toniesteves/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
toniesteves/avellaneda-stoikov
Avellaneda-Stoikov HFT market making algorithm implementation
toniesteves/black-friday-eda
O objetivo é extrair algumas informações quantitativas que nos ajudem a compreender a natureza dos dados à disposição e ganhar alguns insights sobre o data set.
toniesteves/brasnam-experiments
Repository containing all source code used in experiments for my paper in BraSNAM 2021: "Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?"
toniesteves/CLRS
:notebook:Solutions to Introduction to Algorithms
toniesteves/codenation-challenges
toniesteves/curso-django-projeto1
toniesteves/Customer-Segmentation-on-Home-Loans
An analysis on a home loan customer base to identify groups leading to good and bad rates. Language: Python
toniesteves/elementary-graph-algorithms
toniesteves/enem-classification-2016
toniesteves/finger-counting-segmentation
Segmentação com Envoltória Convexa e OpenCV
toniesteves/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
toniesteves/Hackerrank-1
Solutions to the practice exercises, coding challenges, and other problems on Hackerrank! www.Hackerrank.com
toniesteves/heuristic-optmization-algorithms
3 basic optmization algorithms
toniesteves/Iguanas-rule-based-classifier
Iguanas is a fast, flexible and modular Python package for generating a Rules-Based System (RBS) for binary classification use cases.
toniesteves/Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
toniesteves/Machine-Learning-for-Asset-Managers-Oslo-Bors
toniesteves/meetupnubankMILP
toniesteves/optimization-demo-files
Examples on numerical optimization
toniesteves/pyextremes
Extreme Value Analysis (EVA) in Python
toniesteves/pyextremes-notebooks
Jupyter notebooks for the pyextremes library
toniesteves/StatusInvestScraping
Web Scraping do site StatusInvest para Ações e Fundos Imobiliarios