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agglomerative-clustering

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Example and analysis of basic machine learning. 1. Logistic Regression and SVM, 2. PCA and LDA, 3. Model Evaluation and Hyperparameter Tuning, 4. Sentiment Analysis, 5. Clustering: K-means, hierarchical clustering, DBSCAN, agglomerative clustering, 6. Feedforward Neural Networks, 7. Deep Neural Network using TensorFlow

  • Updated Mar 1, 2020
  • Python

The prog is written to construct the phylogenetic tree (dendrogram) based on DNA/Protein sequences of species given in a dataset using Agglomerative and Divisive Hierarchical Clustering and to compare Agglomerative and Divisive methods

  • Updated Aug 8, 2020
  • Python

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

  • Updated Aug 14, 2020
  • Python

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