While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

From both sides now: the math of linear regression

Katherine Bailey

A journey starting from the standard formulation of linear regression, moving on to the probabilistic approach, and then progressing to Bayesian linear regression.

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Why using SQL before using Pandas?

Oleg Żero

An explanation with examples illustrating the motivation to use SQL for fetching data from a database instead of directly loading the data into Pandas.

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Data scientist, working without data

Randy Au

A data scientist's skills can prove useful even in situations where data may be unavailable.

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