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Today we’ll cover the basics of machine learning and examine how to train a linear regression machine learning model. 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... [Read More]

Today we’ll demonstrate how to determine the relationship between metrics and generate visualizations. 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, machine... [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]