Tutorial by Topics: linear

Most command line tools rely on arguments passed to the program upon its execution. Instead of prompting for input, these programs expect data or specific flags (which become booleans) to be set. This allows both the user and other programs to run the Python file passing it data as it starts. This section explains and demonstrates the implementation and usage of command line arguments in Python.

Rust's standard library does not contain a proper argument parser (unlike argparse in Python), instead preferring to leave this to third-party crates. These examples will show the usage of both the standard library (to form a crude argument handler) and the clap library which can parse command-line arguments more effectively.

Fitting a line (or other function) to a set of data points.

A model widely used in traditional statistics is the linear regression model. In this article, the objective is to follow the step-by-step implementation of this type of models. We are going to represent a simple linear regression structure.

For our study, we will analyze the age of the children on the x axis and the height of the children on the y axis. We will try to predict the height of the children, using their age, applying simple linear regression.[in TF finding the best W and b]

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