9789357461672, Introduction to Data Mining, Galit Shmueli, Peter C Bruce, Peter Gedeck (Author), Wiley India Pvt.Ltd (Publisher), Paperback, English, Worldwide

Galit Shmueli is a renowned data scientist and professor known for her work in statistical modeling and machine learning. Peter C. Bruce is a leading expert in data science education and the founder of the Institute for Statistics Education at Statistics.com. Peter Gedeck is a data science professional specializing in predictive analytics and machine learning applications. Together, they bring extensive academic and industry experience to the field of data mining. Their expertise spans statistical analysis, business intelligence, and data-driven decision-making. They have authored multiple books and research papers, contributing significantly to data science education.

• Introduction to Data Mining

  • Overview and Applications
  • Data Mining vs. Statistics vs. Machine Learning

• Understanding Data

  • Types of Data and Variables
  • Data Preprocessing and Cleaning
  • Handling Missing Data

• Exploratory Data Analysis (EDA)

  • Summary Statistics
  • Data Visualization Techniques

• Supervised Learning: Classification

  • Decision Trees
  • k-Nearest Neighbors
  • Logistic Regression
  • Model Evaluation Metrics

• Supervised Learning: Regression

  • Linear and Nonlinear Regression
  • Model Selection and Regularization

• Unsupervised Learning: Clustering

  • k-Means Clustering
  • Hierarchical Clustering
  • Evaluating Clusters

• Association Rule Mining

  • Market Basket Analysis
  • Apriori Algorithm

• Dimensionality Reduction Techniques

  • Principal Component Analysis (PCA)
  • Feature Selection Methods

• Model Performance and Evaluation

  • Overfitting and Underfitting
  • Cross-Validation Techniques

• Applications and Case Studies

  • Real-World Data Mining Applications
  • Ethical Considerations in Data Mining

• Binding: Paperback
• Publisher: Fingerprint
• Genre: Book
• ISBN 13 : 9789357461672
• Edition: 1, 2016
• Pages: 240