Pinned Repositories
Direct-Email-Marketing-Dataset
Direct Email Marketing optimisation with a Random Forest based approach
ig-markets-api-python-library
A lightweight Python library that can be used to get live data from IG Markets REST and STREAM API with a LIVE or DEMO account
IG_Trading_API_for_Matlab
A simple and intuitive Matlab library designed to interact with ig.com web API. This library allows you to download historical data, monitor multiple markets, manage your positions and submit real-time orders.
Indian-LiverPatient-Records
Legrand-Bticino-Python-API
An easy implementation of Legrand BTicino API in Python
Modified-Boston-Housing-Data
Modified Boston Housing Data with outliers and missing data
multiscale-template-matching
this is a sample for template matching with opencv
SageMaker-Autopilot-Titanic
Amazon SageMaker Autopilot demo on a popular kaggle.com challenge: "Titanic: Machine Learning from Disaster"
deliverables
project deliverables
WP3-data-collection-twitter
This code aims to periodically collect twitter's posts from multiple accounts.
brego81's Repositories
brego81/Direct-Email-Marketing-Dataset
Direct Email Marketing optimisation with a Random Forest based approach
brego81/IG_Trading_API_for_Matlab
A simple and intuitive Matlab library designed to interact with ig.com web API. This library allows you to download historical data, monitor multiple markets, manage your positions and submit real-time orders.
brego81/Legrand-Bticino-Python-API
An easy implementation of Legrand BTicino API in Python
brego81/ig-markets-api-python-library
A lightweight Python library that can be used to get live data from IG Markets REST and STREAM API with a LIVE or DEMO account
brego81/Indian-LiverPatient-Records
brego81/Modified-Boston-Housing-Data
Modified Boston Housing Data with outliers and missing data
brego81/multiscale-template-matching
this is a sample for template matching with opencv
brego81/SageMaker-Autopilot-Titanic
Amazon SageMaker Autopilot demo on a popular kaggle.com challenge: "Titanic: Machine Learning from Disaster"