Learn Data Mining Through Excel A Step-by-Step Approach for Understanding Machine Learning Methods

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. Th...

Descripción completa

Detalles Bibliográficos
Autor principal:	Zhou, Hong. author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2020.
Edición:	1st ed. 2020.
Materias:	Microsoft Excel (Computer file) Microsoft software. Microsoft .NET Framework. Data mining. Microsoft and .NET. Data Mining and Knowledge Discovery.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631943206719

Tabla de Contenidos:

Chapter 1: Excel and Data Mining
Chapter 2: Linear Regression
Chapter 3: K-Means Clustering
Chapter 4: Linear Discriminant Analysis
Chapter 5: Cross-Validation and ROC
Chapter 6: Logistic Regression
Chapter 7: K-nearest Neighbors
Chapter 8: Naive Bayes Classification
Chapter 9: Decision Trees
Chapter 10: Association Analysis
Chapter 11: Artificial Neural Network
Chapter 12: Text Mining
Chapter 13: After Excel.

Learn Data Mining Through Excel A Step-by-Step Approach for Understanding Machine Learning Methods

Ejemplares similares