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You’re a data scientist at EKKo Inc., a machine learning consultancy that has won a contract to create an embedded system that can be implemented on embedded systems. This system will enable people who are deaf or hard of hearing to participate in online meetings and events. After setting up an environment for running ML programs on an embedded system, you’ll process data from the existing American Sign Language (ASL) dataset and build, train, validate, and analyze the performance of a logistic regression model. By the end of this liveProject, you’ll be able to install, configure, and deploy a basic logistic regression algorithm that’s capable of classifying the letters of the ASL image dataset.
The liveProject is for intermediate Python programmers who know the basics of data science. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll learn how to develop, train and deploy machine learning algorithms and projects on edge systems.
geekle is based on a wordle clone.