The aim of the series is to consolidate a foundational understanding of Machine Learning.
Articles in this series
A gentle introduction* to Python
*non-exhaustive · To quickly recap on Python, I created a one-page guide. Here are the references that I used: w3 Python Resource Kantajit Shaw's...
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...
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...
Section 2: Matplotlib
Here are the resources I used: https://matplotlib.org https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass