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Classification Analysis
  • Level Professional
  • Duration 38 hours
  • Course by University of Colorado Boulder
  • Offered by

About

The "Classification Analysis" course provides you with a comprehensive understanding of one of the fundamental supervised learning methods, classification. You will explore various classifiers, including KNN, decision tree, support vector machine, naive bayes, and logistic regression, and learn how to evaluate their performance. Through tutorials and engaging case studies, you will gain hands-on experience and practice in applying classification techniques to real-world data analysis tasks. By the end of this course, you will be able to: 1. Understand the concept and significance of classification as a supervised learning method. 2. Identify and describe different classifiers, such as KNN, decision tree, support vector machine, naive bayes, and logistic regression. 3. Apply each classifier to perform binary and multiclass classification tasks on diverse datasets. 4. Evaluate the performance of classifiers using appropriate metrics, including accuracy, precision, recall, F1 score, and ROC curves. 5. Select and fine-tune classifiers based on dataset characteristics and learning requirements. Gain practical experience in solving classification problems through guided tutorials and case studies.

Modules

Introduction to Classification

    • 1 Videos
    • 2 Readings
Show info about module content

1 Videos

  • Introduction to Classification

2 Readings

  • Assessment Strategy
  • Activity Strategy

Nearest Neighbor Classification

    • 1 Videos
    • 3 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Nearest Neighbor Classification Quiz

1 Discussions

  • Nearest Neighbor Classification Exploration Exercise

1 Videos

  • Nearest Neighbor Classification

3 Readings

  • Nearest Neighbor Classification Demo
  • Nearest Neighbor Classification Case Study - Breast Cancer
  • Nearest Neighbor Classification Case Study

Decision Tree Classification

    • 1 Videos
    • 3 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Decision Tree Classification Quiz

1 Discussions

  • Decision Tree Classification Exploration Exercise

1 Videos

  • Decision Tree Classification

3 Readings

  • Decision Tree Classification Demo
  • Decision Tree Classification Case Study - Breast Cancer
  • Decision Tree Classification Case Study

Support Vector Machine Classification

    • 1 Videos
    • 3 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Support Vector Machine Classification Quiz

1 Discussions

  • Support Vector Machine Classification Exploration Exercise

1 Videos

  • Support Vector Machine Classification

3 Readings

  • Support Vector Machine Classification Demo
  • Support Vector Machine Classification Case Study - Breast Cancer
  • Support Vector Machine Classification Case Study

Naïve Bayes Classification

    • 1 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Naïve Bayes Classification Quiz

1 Videos

  • Naïve Bayes Classification

3 Readings

  • Naïve Bayes Classification Demo
  • Naïve Bayes Classification Case Study - Breast Cancer
  • Naïve Bayes Classification Case Study

Logistic Regression Classification

    • 1 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Logistic Regression Classification Quiz

1 Videos

  • Logistic Regression Classification

3 Readings

  • Logistic Regression Classification Demo
  • Logistic Regression Classification Case Study - Breast Cancer
  • Logistic Regression Classification Case Study

Classification Evaluation

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Classification Evaluation Quiz

1 Videos

  • Classification Evaluation

Case Study

    • 2 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Self Reflection

1 Discussions

  • Classification Analysis Exploration Exercise

2 Readings

  • Classification Analysis Case Study - Demo
  • Classification Analysis Case Study

Auto Summary

"Classification Analysis" is a comprehensive course in Data Science & AI, focusing on supervised learning methods. Taught by Coursera, it covers classifiers like KNN, decision tree, SVM, naive bayes, and logistic regression. Over 2280 minutes, learners will engage in tutorials and case studies to master classification tasks and performance evaluation. Suitable for professionals, it offers practical experience and is available via a Starter subscription.

Di Wu
Instructor

Di Wu