edX
MOOC / Non-credit
0
Machine Learning: Classification
About this course
This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.
C
59/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- 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 supervised machine learning principles
- apply logistic regression for classification tasks
- build decision tree models
- implement ensemble methods
- manage unbalanced datasets in machine learning
Course objectives
- enable students to construct classification models
- teach methods for evaluating model performance
- provide insights into handling real-world data challenges
Machine Learning
#classification
#machine learning
#model evaluation
#predictive modeling
#data science
#supervised learning
#logistic regression
#decision trees
#ensemble methods
#unbalanced datasets
$149.00
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