Day1 - Iris classification Problem using pre made estimators in TensorFlow
Day2 - TicTacToe using Monte Carlo Tree Search
Day3 - Implemented Custom made Estimator for DNNClassifier
Day4 - TicTacToe using TD learning self play
Day5 - On-Policy prediction with approximation(Gradient Monte carlo method for approximating value function for 1000 node random walk)
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