These are my most read articles, some of them are a compilation of various posts in order to form a cohesive source of content.
In a bit more than 100 pages, I focus on what you will need to use most of the time to solve most of the problems as a beginner, learn the core of the language in a matter of hours instead of weeks:
The Python Guide For Beginners
In this series we begin with the EDA (Exploratory Data Analysis) of the data, we create a script to clean the data, then we use the cleaned data to create a Machine Learning Model, and finally we use the Machine Learning model to implement a prediction API:
Data Science and Machine Learning Project: House Prices Dataset
If you want to learn Machine Learning and don’t know where to start, this is your guide:
How to Learn Machine Learning and Deep Learning: a guide for Software Engineers