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  1. Machine-Learning Machine-Learning Public

    applying Linear Regression (Simple and Multiple), Polynomial Regression, and Logistic Regression on real-world datasets. analyze, build, evaluate, and compare models using scikit-learn in Python.

    Jupyter Notebook

  2. computing-exam-time-table-using-networkx-and-coloring-algorithm- computing-exam-time-table-using-networkx-and-coloring-algorithm- Public

    use networkx library and applying coloring algorithm to solve real life problem such as computing exam time table for current or previous term based on the courses registered by the students

    Jupyter Notebook