Webcs7646 This repository serves as my root repository for my notes, documentation, and project code for CS7646: Machine Learning for Trading offered at the Georgia Institue of … on any GitHub event. Kick off workflows with GitHub events like push, issue … Root repository for CS 7646: Machine Learning for Trading - … At the heart of GitHub is an open-source version control system (VCS) called Git. … We would like to show you a description here but the site won’t allow us. WebMachine-Learning-For-Trading-Fall-2024. This project contains all the homework from the course CS7646 Machine Learning for Trading in Fall 2024 at Georgia Tech. The Grading part is written by the TAs of this course.
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WebAug 14, 2024 · A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Web[CS-7646-O1] Machine Learning for Trading: Assignments The following projects are included in this repository: Assess Portfolio In this project, I used Python Pandas to read stock data, compute different statistics and metrics and compare various portfolios. The metrics that were computed are as follows: Cumulative return Average Daily return WebCS7646 ML For Trading Project 7: Q-Learner Michael Tong (mtong31) This script provides the QLearner class which generates and updates a Q table with Dyna-Q functionality. """ import numpy as np class QLearner ( object ): def __init__ ( self, \ num_states=100, \ num_actions = 4, \ alpha = 0.2, \ gamma = 0.9, \ rar = 0.5, \ radr = 0.99, \ dyna = 0, \ parts for a garmin map 60cx