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

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. Most 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 outpu...

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Bibliographic Details
Main Author: Zhou, Hong (-)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2023.
Edition:2nd ed. 2023.
Subjects:
Microsoft Excel (Computer file)
Data mining.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009790337106719
Table of Contents:
  • 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: Naïve Bayes Classification
  • Chapter 9: Decision Trees
  • Chapter 10: Association Analysis
  • Chapter 11: Artificial Neural Networks
  • Chapter 12: Text Mining
  • Chapter 13: Hierarchical Clustering and Dendrogram
  • Chapter 14 Exploratory Data Analysis (EDA)
  • Chapter 15: After Excel.

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