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  1. Neural_Networks_Undegraduate_Course_Fall_2020 Neural_Networks_Undegraduate_Course_Fall_2020 Public

    In this course, I learned about CNNs, RNNs, and AutoEncoders.

    Jupyter Notebook 1

  2. Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions Public

    Forked from LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

    Solutions of Reinforcement Learning, An Introduction

    Jupyter Notebook

  3. Applied_Machine_Learning_Fall_2021 Applied_Machine_Learning_Fall_2021 Public

    I took Applied Machine Learning's course in Fall 2021 under supervision of Prof.Hajiabolhassan.

    Jupyter Notebook

  4. reinforcement-learning reinforcement-learning Public

    Forked from dennybritz/reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

    Jupyter Notebook

  5. Time_Series_Fall_2019 Time_Series_Fall_2019 Public

    In this course I learned about various time series models like Winters, Moving Average, Auto Regressive, and ARMA.

    R

  6. Data_Mining_Fall_2020 Data_Mining_Fall_2020 Public

    In this course, I learned about various supervised and unsupervised learning methods.

    R