Welcome!

Today we’ll cover the basics of machine learning and examine how to select an appropriate machine learning model. This is the sixth 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 demonstrate how to generate meaningful visualizations. This is the fifth 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 visualizations, and machine learning. [Read More]

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]