klotz: tutorial* + python*

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  1. This is a hands-on guide with Python example code that walks through the deployment of an ML-based search API using a simple 3-step approach. The article provides a deployment strategy applicable to most machine learning solutions, and the example code is available on GitHub.
  2. A tutorial showing you how how to bring real-time data to LLMs through function calling, using OpenAI's latest LLM GTP-4o.
  3. 2023-11-22 Tags: , , , , , by klotz
  4. Comparing Clustering Algorithms
    Following table will give a comparison (based on parameters, scalability and metric) of the clustering algorithms in scikit-learn.

    Sr.No Algorithm Name Parameters Scalability Metric Used
    1 K-Means No. of clusters Very large n_samples The distance between points.
    2 Affinity Propagation Damping It’s not scalable with n_samples Graph Distance
    3 Mean-Shift Bandwidth It’s not scalable with n_samples. The distance between points.
    4 Spectral Clustering No.of clusters Medium level of scalability with n_samples. Small level of scalability with n_clusters. Graph Distance
    5 Hierarchical Clustering Distance threshold or No.of clusters Large n_samples Large n_clusters The distance between points.
    6 DBSCAN Size of neighborhood Very large n_samples and medium n_clusters. Nearest point distance
    7 OPTICS Minimum cluster membership Very large n_samples and large n_clusters. The distance between points.
    8 BIRCH Threshold, Branching factor Large n_samples Large n_clusters The Euclidean distance between points.
  5. 2021-10-09 Tags: , , by klotz
  6. 2021-10-09 Tags: , , by klotz
  7. 2021-09-02 Tags: , , , by klotz

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