GitHub - marcotav/unsupervised-learning: This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.

Unsupervised Learning

Notebook	Brief Description
topic-modeling	In this notebook, I will use Python and its libraries for topic modeling. In topic modeling, statistical models are used to identify topics or categories in a document or a set of documents. I will use one specific method called Latent Dirichlet Allocation (LDA) and apply it to labels on research papers.
clustering-for-customer-segmentation	In this project I will apply clustering algorithms to the dataset Wholesale Customers Data Set from the UCI Machine Learning Repository. The dataset contains customers' spending amounts of several product categories.
network-analysis	Neural networks tutorial where I build fully-connected networks and convolutional neural networks using both Keras and TensorFlow respectively (in progress).
transfer-learning-mini-tutorial	A tutorial on network analysis.

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Name		Name	Last commit message	Last commit date
Latest commit History 113 Commits
clustering-for-customer-segmentation		clustering-for-customer-segmentation
network-analysis		network-analysis
pca		pca
topic-modeling		topic-modeling
README.md		README.md