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Overview
During this course, you will develop skills in feature extraction and cluster validation to enhance data analysis.
Additional Course Skills for the Unsupervised Learning program offered by Udacity:
- Gaussian mixture models
- Single linkage clustering
- K-means clustering
- Dimensionality reduction
- Market segmentation
- Cluster models
- Principal component analysis
- Independent component analysis
- Dbscan
Programme Structure
Courses include:
- Clustering
- Hierarchical and Density Based Clustering
- Gaussian Mixture Models and Cluster Validation
- Dimensionality Reduction and PCA
- Random Projection and ICA
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Web Technologies & Cloud Computing View 417 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Intermediate Python
- Basic descriptive statistics
- Basic probability
- Basic supervised machine learning
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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