{\rtf1\ansi\ansicpg1252\cocoartf1404\cocoasubrtf470 {\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;} \margl1440\margr1440\vieww10800\viewh8400\viewkind0 \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0 \f0\fs24 \cf0 This project use Tensorflow\ \ \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0 \cf0 First Run preprocess.py to download and create all the necessary data.\ Then in DeepQTrader choose the mode and execute.}
victorzsl/ML_Nanodegree_DeepQTrader
Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.
Python