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  1. NLP-Topic_Modeling NLP-Topic_Modeling Public

    Extract topic from hotel reviews using NLP and LDA

    Jupyter Notebook 1

  2. Converting-Users-to-Customers Converting-Users-to-Customers Public

    An exploratory data analysis was conducted to identify the best features that indicate users' conversion rates. This work also shows how and why the Random Forest is the best model for prediction.

    Jupyter Notebook 1

  3. Customers-Segmentation Customers-Segmentation Public

    In this code, I used the Gaussian Mixture Model to cluster customers from a credit card company to identify shared behavior.

    Jupyter Notebook 1

  4. Features-Imporance-Selection Features-Imporance-Selection Public

    A supervised learning algorithm was used to analyze data from breast cancer patients.

    Jupyter Notebook 1

  5. Latin_Hypercube_Sampling Latin_Hypercube_Sampling Public

    Latin Hypercube Sampling is a method for generating random samples of parameters and is frequently used in Monte Carlo simulation.

    Jupyter Notebook 1 1

  6. Self-Driving-Car-Path-Planning Self-Driving-Car-Path-Planning Public

    The goal here is to build a planner to navigate a vehicle through traffic on a highway. For this project, I used environmental prediction, behavioral planning, and trajectory generation to successf…

    C++ 1 1