Understanding Hdsc Winter 23 De Coding Session

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Key Takeaways about Hdsc Winter 23 De Coding Session

  • Introduction to docker, spinning up containers with docker file.
  • Explaining the concepts in stage A (introduction to python for machine learning)
  • Data visualization with python and Power BI.
  • Integration of Pytest with Github actions.
  • Neural Network Modelling using Tensorflow. Explaining the concepts of building a neural network model..

Detailed Analysis of Hdsc Winter 23 De Coding Session

An end to end Machine learning regression analysis. An introduction to Kubernetes, setting up a Kubernetes cluster. Deploying Tensorflow models with Tensorflow serving.

Data storytelling in pattern recognition using Python libraries.

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