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Procesamiento Previo de Datos | Codefinity
Procesamiento Previo de Datos

Procesamiento Previo de Datos

Crear un modelo de aprendizaje automático parece ser la tarea más difícil y esencial. Pero primero, ¡hay que trabajar con datos! Aprenda a procesar conjuntos de datos y a prepararlos completamente para su uso. En nuestro curso le esperan datos numéricos, categóricos y temporales.

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There are 6 modules in this course

Crear un modelo de aprendizaje automático parece ser la tarea más difícil y esencial. Pero primero, ¡hay que trabajar con datos! Aprenda a procesar conjuntos de datos y a prepararlos completamente para su uso. En nuestro curso le esperan datos numéricos, categóricos y temporales.
¿Diferentes tipos de datos? ¿Cómo trabajar con ellos? Si tienes los ojos bien abiertos, no te preocupes, vamos a empezar con una breve descripción de la librería pandas y aprender cómo trabajar con ella en el futuro.
Este capítulo trata en detalle cómo trabajar con datos cuantitativos, con qué métodos se procesan, en qué se diferencian el escalado y la normalización de los datos, y mucho más.
¿Son los datos categóricos tan sencillos como cree? Averigüe cuál es la complejidad de procesarlos y trabajar con ellos.
El tratamiento de datos de series temporales es el proceso de manipulación, análisis y preparación de datos que se presentan como una secuencia de valores ordenados temporalmente. Descubra qué pasos incluye en esta sección.
¿Sabía que puede extraer aún más valores de sus datos y crear características más informativas? En esta sección, aprenderá a trabajar con la ingeniería de características.
Ha llegado al final de este curso. Pongamos a prueba tus conocimientos. Tienes 3 tareas para resolver.

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Why people choose Codefinity for their career

Kwizera Mugisha

Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

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Recommended if you're interested in learning Python

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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.

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With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience

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Take control of your career development and commence your path into mastering the latest technologies

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Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers

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