XavierCarrera/Tutorial-Machine-Learning-Regresion-Lineal
La regresión linear es un algoritmo clásico de machine learning que es muy fácil de implementar. Sin embargo, es muy poderoso y tiene muchos usos. Acá te explico desde un punto matemático y teórico como se aplica. Además, hacemos una pequeña implementación.
This tutorial explains the foundational concepts of linear regression, a classic machine learning algorithm. It demonstrates how to take numerical data, identify relationships between variables, and use this to predict unknown values, such as prices or weight changes. Anyone looking to understand how to make simple, data-driven predictions using historical information would find this valuable.
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Use this if you need a clear, mathematical, and theoretical understanding of how linear regression works to predict one variable based on another.
Not ideal if you are looking for a plug-and-play code library for immediate implementation without diving into the underlying theory.
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Jan 24, 2021
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