All codes, both created and optimized for best results from the SuperDataScience Course
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Updated
Nov 5, 2017 - Python
All codes, both created and optimized for best results from the SuperDataScience Course
A python based ML tool for CRT inspection & optimization
A simple implementation of Reinforcement Learning using UCB in python.
An AI agent implemented using Monte Carlo Tree Search (MCTS) using Upper Confidence Bounds (UCT).
A python implementation of an agent for ultimate tic-tac-toe using Monte Carlo Tree Search and Upper Confidential Bound
Python implementation of UCB, EXP3 and Epsilon greedy algorithms
Reinforcement learning
Real-Life Example for Machine Learning Projects (Python3) -Part-2
The purpose of this study is to predict which ad will be the most preferred by the customers over the fictitious ads clicked by the users.
The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻
Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.
AI for the game "Connect Four". Available on PyPI.
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