2021 Master Class: Machine Learning Using Google Cloud

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2021 Master Class: Machine Learning Using Google Cloud

20 Feb , 2021  

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Requirements

  • Basic knowledge of Python

Description

Machine learningĀ is a subset of artificial intelligence that is at the forefront of digital transformation in the world. Thanks to machine learning, it is now possible to detect diseases, know the defaulters of a loan and know the future sales of a product. All these information can be had proactively and not as an after the fact scenario. Machine learning and artificial intelligence-based roles are in great demand in the job market and such roles offer a higher salary than traditional programming roles.

This course covers theĀ conceptsĀ of machine learning as well as theĀ applicationĀ of these concepts usingĀ case studies and examples, along with aĀ walk through of the python codes.

The following algorithms are covered in detail:

  • Simple and multiple linear regression
  • Logistic regression
  • Decision tree, Random forest and XG boost
  • Unsupervised algorithms – Cluster (kNN based) and Hierarchical.

Learners will also understand how to develop the aboveĀ machine learning in a cloud environment. They will learn not just to code in cloud but also to access the data stored in cloud. This will be particularly helpful to learners since many organizations are adopting cloud at a fast pace.

Lastly, how to pursue a machine learning project has been covered.

This course isĀ taught by an industry veteran, who brings his vast experiences and practical perspectives into the program.

Who this course is for:

  • Professionals wanting to shift to ML roles
  • Students
  • ML professionals who are looking for a refresher

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