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1. Q_learning Q_learning Public

   In this project the purpose is to implement and assess Q-Learning. First it test Q-Learning implementation to solve a navigation problem. Then applying Q-Learning to stock trading. QLearner class h…

   Python 10 6

2. market_simulator market_simulator Public

   a market simulator that accepts trading orders and keeps track of a portfolio's value over time and then assesses the performance of that portfolio.

   Python 5 3

3. Markov-Decision-Processess Markov-Decision-Processess Public

   explore Markov Decision Processes (MDPs):

   MATLAB 5 2

4. Randomized-optimization_ML Randomized-optimization_ML Public

   this project is to explore random search.

   Java 3 4

5. access_leaner-Machine-learning-for-trading access_leaner-Machine-learning-for-trading Public

   implement and evaluate three learning algorithms as Python classes: A KNN learner, a Linear Regression learner (provided) and a Bootstrap Aggregating learner

   Python 2 3

6. access_portfolio access_portfolio Public

   use pandas for reading in data, calculating various statistics and plotting a comparison graph.

   Python 2 1