Cluster Analysis, Association Mining, and Model Evaluation

This course is part of Data Science Fundamentals Specialization

Instructor: Julie Pai

What you'll learn

  •   Cluster analysis and segmentation
  •   Collaborative filtering and market basket analysis
  •   Applications of classification- and regression-type prediction models

    • Skills you'll gain

  •   Probability & Statistics
  •   Data Analysis
  •   Machine Learning
  •   Cross Selling
  •   Scatter Plots
  •   Market Analysis
  •   Classification And Regression Tree (CART)
  •   Data Mining
  •   Predictive Modeling
  •   Correlation Analysis
  •   Anomaly Detection
  •   Supervised Learning
  •   AI Personalization
  •   Unsupervised Learning
  •   Statistical Analysis
  •   Predictive Analytics
  •   Regression Analysis
  •   Statistical Modeling

    • There are 4 modules in this course

    Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can be evaluated for performance, and review the differences in analysis types and when to apply them.

    Collaborative Filtering, Association Rules Mining (Market Basked Analysis)

    Classification-Type Prediction Models

    Regression-Type Prediction Models

    Explore more from Data Analysis

    Cluster Analysis in Data Mining

    Clustering Analysis

    Association Rules Analysis

    Cluster Analysis and Unsupervised Machine Learning in Python

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