With Applied Unsupervised Learning with Python, design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data. (Limited-time offer)
Table of Contents
- Introduction to Clustering
- Clustering
- Neighborhood Approaches and DBSCAN
- Dimension Reduction and PCA
- Autoencoders
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Topic Modeling
- Market Basket Analysis
- Hotspot Analysis
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Author(s): Benjamin Johnston , Aaron Jones , Christopher Kruger
Publisher: Packt Publishing
Published: May 2019
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of01/20/2021 10/18/2022.
Publisher: Packt Publishing
Published: May 2019
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of