A gentle introduction* to Python
*non-exhaustive
Sep 14, 20211 min read89
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Series
Machine Learning
The aim of the series is to consolidate a foundational understanding of Machine Learning.
Section 0: NumPy
A one-page summary on NumPy. This is non-exhaustive but those listed are commonly used. References: Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass Jason Brownlee's notes on broadcasting with NumPy arrays
Sep 15, 20211 min read54Section 1: Pandas (part 1 of 2)
The documentation for Pandas is very comprehensive, you may wish to browse through it for more examples. References used: Pandas Documentation Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
Sep 16, 20211 min read46Section 1: Pandas (part 2 of 2)
Click here for part 1 Here's part two of the notes:
Sep 17, 20211 min read38Section 2: Matplotlib
Here are the resources I used: https://matplotlib.org https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass
Sep 18, 20211 min read28Section 3: Seaborn
Here are the references I used: Seaborn Documentation Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
Sep 19, 20211 min read25