Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
First of all thank you for the hard work put into this, it's a really awesome project that I still learn how to use.
I'm not that proficient in using python so that is why I'll put my suggestion here. I have used python more for machine learning stuff and there the option of searching hyperparameters was also between grid and random search. However, I found that using bayesian optimizati
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
TradingMachine is a mini-trading system simulation, whose components (market data and order feeds, FIX acceptor and initiator, back-end for filled orders) interact by queues and topics.
Hey,
First of all thank you for the hard work put into this, it's a really awesome project that I still learn how to use.
I'm not that proficient in using python so that is why I'll put my suggestion here. I have used python more for machine learning stuff and there the option of searching hyperparameters was also between grid and random search. However, I found that using bayesian optimizati