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1. Applying state of the art AI search algorithms to solve the Sokoban game automatically. Since Sokoban game itself is quite challenging due to its problem complexity, additionally, heuristic functio…

   Python 1

2. Applying supervised learning techniques and analytical skills on data for the U.S. census to help a charity identify people most likely to donate to their cause. (Python, Pandas, Numpy, Matplotlib,…

   Jupyter Notebook 1

3. Developing code for an image classifier to recognize different species of flowers built with Pytorch, then converting it into a command-line application. The dataset contains 102 flower categories.…

   HTML 1

4. Using the gym’s FrozenLake game environment as the Markov Decision Processes, Synchronous Value Iteration, Q-Learning and SARSA, and Deep Q-Network were applied in Ray distributed framework. The ex…

   Jupyter Notebook 3

5. Following Kevin Knight’s tradition, Japanese KATAKANA and English are used to demonstrate the linguistic diversity and to illustrate transliteration and translation. For this project NLP’s modern q…

   F* 3 1

6. Implementing and testing the Anchor-Free algorithm and comparing its performance with two traditional Anchor-Word topic modeling algorithms, LDA and NMF, and one unsupervised learning method, Kmean…

   Jupyter Notebook 1