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  • in ml
  • 6 min read

Clustering Algorithms in ML

Applications of Clustering

  • Customer Segmentation: To show personalized ADs to customers.
  • Data Analysis: Perform analysis to each cluster after performing clustering on the whole dataset.
  • Semi Supervised Learning: Google Photos uses this technique to identify person's face and put them into a separate folder.
  • Image Segmentation: You can create segments in photos to represent different objects in the photo.

KMeans

  • in ml
  • 3 min read

Overview: Decision Tree

Decision tree is a very crucial algorithm in ML world because using this algorithm there are many important and some of the best algo of ML is made upon like RandomForest and Xgboost.

That's why we going to take a overview of Decision Tree in this blog.

Anatomy of Decision Trees

  • in mlops
  • 2 min read

ML Systems Dobuts

I've been working on a project of Machine Learning where I am using Docker to containerise my applications (frontend and backend). But I'm facing difficulties while using ML models in the containers.

Question

  1. How to train the model and also use MLFlow for model monitoring?
  2. I don't know how to integrate the ML models in the containers.
    1. Should I deploy my models in cloud and from there I can fetch the models for prediction?
    2. Should I add the models into the container from which I can easily make prediction?

MLFlow