Cupón Udemy: Análisis exploratorio de datos (EDA) para aprendizaje automático con 100% de descuento por tiempo LIMITADO



Master The Analysis and Transformation techniques done before the ML Project | Ensure Maximum Value for your data

Setting the context

Before you start a machine learning project, its important to ensure that the data is ready for modeling work. Exploratory Data Analysis (EDA) ensures the readiness of the data for Machine Learning. In fact, EDA ensures that the data is more usable. Without a proper EDA, Machine Learning work suffer from accuracy issues and many times, the algorithms won’t work.

What is exploratory data analysis?

Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions.

EDA is primarily used to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Originally developed by American mathematician John Tukey in the 1970s, EDA techniques continue to be a widely used method in the data discovery process today.


Why is exploratory data analysis important in data science?

The main purpose of EDA is to help look at data before making any assumptions. It can help identify obvious errors, as well as better understand patterns within the data, detect outliers or anomalous events, find interesting relations among the variables.

Data scientists can use exploratory analysis to ensure the results they produce are valid and applicable to any desired business outcomes and goals. EDA also helps stakeholders by confirming they are asking the right questions. EDA can help answer questions about standard deviations, categorical variables, and confidence intervals. Once EDA is complete and insights are drawn, its features can then be used for more sophisticated data analysis or modeling, including machine learning.


Programming Language Used

Python: an interpreted, object-oriented programming language with dynamic semantics. Its high-level, built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for rapid application development, as well as for use as a scripting or glue language to connect existing components together. Python and EDA can be used together to identify missing values in a data set, which is important so you can decide how to handle missing values for machine learning.


What is covered in this course?

This course will teach you the techniques and approaches in exploratory data analysis, which will help you to derive maximum value from the data. If you jump into machine learning without doing this EDA, you are setting yourself up for failure besides ending up with lower accuracy. This course is designed by an AI and tech veteran and comes to you straight from the oven!



Cupón Udemy: Análisis exploratorio de datos (EDA) para aprendizaje automático con 100% de descuento por tiempo LIMITADO

Exploratory Data Analysis (EDA) for Machine Learning

Master The Analysis and Transformation techniques done before the ML Project | Ensure Maximum Value for your data»

Este curso se encuentra de manera gratuita gracias a un cupón que podrás encontrar aquí abajo.

Toma en cuenta que este tipo de cupones duran por muy poco tiempo.

Si el cupón ya ha expirado podrás adquirir el curso de manera habitual.

Este tipo de cupones duran muy pocas horas, e incluso solo minutos después de haber sido publicados.

Debido a una actualización de Udemy ahora solo existen 1,000 cupones disponibles, NO nos hacemos responsables si el cupón ya venció.

Para obtener el curso con su cupón usa el siguiente botón:


Deja tus comentarios y sugerencias


Sobre Facialix

Facialix es un sitio web que tiene como objetivo apoyar en el aprendizaje y educación de jóvenes y grandes. Buscando y categorizando recursos educativos gratuitos de internet, de esta manera Facialix ayuda en el constante aprendizaje de todos.


También te podría gustar...

Deja una respuesta

Tu dirección de correo electrónico no será publicada.

Este sitio usa Akismet para reducir el spam. Aprende cómo se procesan los datos de tus comentarios.