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Udacity_connect

This repo contains a collection of Jupyter Notebooks to accompany the Udacity Connect Intensive Machine Learning Nanodegree. The code is written for Python 2.7, but should be (mostly) compatible with Python 3.

List of Contents

  • Week 1 (wk1/)
    • PythonPractice_1.ipynb: Introduction to Jupyter Notebook and basic Python programming (including data types, if and while loops, list comprehension, lambda expression, etc.).
    • PythonPractice_2.ipynb: Introduction to Numpy, including how to create Numpy Array, built-in methods in Numpy array, array indexing/selection/slicing, broadcasting.
    • PythonPractice_3.ipynb: Introduction to Pandas. Topics include inputting data into DataFrame and getting summary information, selection and indexing, conditional selection with DataFrame, etc.
    • PythonPractice_4.ipynb: Introduction to data visualization with Matplotlib and Seaborn.
    • data/: containing one sample dataset for the notebooks and one for exercise.