Coursera MOOC / Non-credit 0

Classification Analysis

Name: Classification Analysis
Price: 49 USD
Availability: InStock

University of Colorado Boulder

About this course

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.

90/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Understand the concept and significance of classification
Identify and describe different classifiers
Apply classifiers to perform binary and multiclass classification tasks
Evaluate classifier performance using metrics like accuracy and precision
Select and fine-tune classifiers based on dataset characteristics

Course objectives

Gain practical experience in solving classification problems
Learn how to apply classification techniques to real-world data

Machine Learning #classification #data analysis #supervised learning #logistic regression #naive bayes #accuracy #data evaluation #F1 score #precision #decision tree #roc curves #KNN #support vector machine #recall

$49.00

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