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2021 Master Class: Machine Learning Using Google Cloud
Preparing you for the AI career!Requirements
- Basic knowledge of Python
Description
Machine learning 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 the concepts of machine learning as well as the application of these concepts using case studies and examples, along with a 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.
Lastly, how to pursue a machine learning project has been covered.
This course is 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
What you'll learn
- Machine learning concepts
- How to code and access data stored in a cloud environment
- Simple and Multiple Linear Regression
- Logistics Regression
- Decision Tree
- Random Forest
- XG Boost
- Unsupervised Algorithms - Centroid (kNN based) and Hierarchical
- How to go about a ML project
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