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  1. Project3 Project3 Public

    Using NLTK and Natural Language Processing to classify song genres and predict whether a song is likely to become a hit based on song lyrics

    Jupyter Notebook 5 1

  2. Model_Stacking Model_Stacking Public

    Using Model-Stacking and Deep Learning Neural Networks to boost model performance and accuracy of my NLP models in Project3.

    Jupyter Notebook 3

  3. Project1 Project1 Public

    Using Object Oriented Programming, SQLAlchemy, Dash and Python to build an algorithm that optimizes player selection in the EPL Fantasy League.

    Python 9 3

  4. Project2 Project2 Public

    Using web-scraping, Pandas, Feature Engineering, Machine Learning and a variety of Linear Models to predict Suicide Rates by Country.

    Jupyter Notebook 2 2

  5. Project4 Project4 Public

    Using a combination of Supervised and Unsupervised Machine Learning models to predict player coefficients and value in FIFA19

    Jupyter Notebook 1 2