A gentle introduction* to Python
*non-exhaustive
Series
Machine Learning
The aim of the series is to consolidate a foundational understanding of Machine Learning.
Posts in this series
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
Section 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
Section 1: Pandas (part 2 of 2)
Click here for part 1 Here's part two of the notes:
Section 2: Matplotlib
Here are the resources I used: https://matplotlib.org https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass
Section 3: Seaborn
Here are the references I used: Seaborn Documentation Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass