Welcome!

Today we’ll demonstrate how to determine the relationship between metrics and select features. This is the fourth part of a series that walks through the entire process of a data science project - from initial steps like data acquisition, preprocessing, and cleaning to more advanced steps like feature engineering, creating... [Read More]

Today we’ll explore how to derive new features from existing columns by calculating additional metrics and extracting textual data. This is the third part of a series that walks through the entire process of a data science project - from initial steps like data acquisition, preprocessing, and cleaning to more... [Read More]

Today we’ll walk through how to clean and preprocess a dataset to ensure it is ready for analysis. This is the second part of a series that walks through the entire process of a data science project - from initial steps like data acquisition, preprocessing, and cleaning to more advanced... [Read More]

Today we’ll go over how to start a new data science project by acquiring the data (using APIs and a CSV export). This is the first part of a series that will walk through the entire process of a data science project - from initial steps like data acquisition, preprocessing,... [Read More]

Today we’ll be covering how to self-host JupyterLab on a Linux machine for a single user. If you’re not familiar with Project Jupyter, I highly recommend that you check it out, especially if you work in data science or with Python. Project Jupyter is migrating the classic Jupyter Notebooks into... [Read More]