# Data Science & Analytics

### 18,895 learners

## Intro to Unsupervised Machine Learning

This advanced course explores unsupervised machine learning, emphasizing dimensionality reduction and clustering methods. Using the Iris dataset, you will apply different methods and interpret the practical implications of the clusters identified.

### Start learning

[See path](https://codesignal.com/learn/paths/journey-into-data-science-with-python)

- **8 lessons**  
- **37 practices**  
- **5 hours**

## Course details

### Unit 1  
- **6 practices**  
- **44 min**

- Exploring and Visualizing the Iris Dataset  
[Preview](https://codesignal.com/learn/courses/intro-to-unsupervised-machine-learning/lessons/exploring-and-visualizing-the-iris-dataset)  
- Analyzing the Iris Dataset  
- Exploring and Visualizing the Iris Dataset with Preprocessing and Pair Plot  
- Focusing on Specific Features in Violin Plots  
- Standardizing the Dataset with Missing Values  
- Creating Box Plot for Iris Dataset Features  
- Handling Missing Values and Standardization in Iris Dataset

### Unit 2  
- **5 practices**  
- **38 min**

### Unit 3  
- **6 practices**  
- **44 min**

### Unit 4  
- **5 practices**  
- **38 min**

### Unit 5  
- **5 practices**  
- **38 min**

### Unit 6  
- **5 practices**  
- **38 min**

### Unit 7  
- **5 practices**  
- **38 min**

### Unit 8  
- **0 practices**  
- **8 min**

[Previous Course](https://codesignal.com/learn/courses/introduction-to-supervised-machine-learning)

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**Intro to Unsupervised Machine Learning | CodeSignal Learn**
