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Meeshkan: Machine Learning the GitHub API
Rating: 4.0 out of 5(94 ratings)
19,258 students
Created byMike Solomon
Last updated 1/2018
English

What you'll learn

  • Collect and analyze a large dataset using Meeshkan.

Course content

2 sections • 15 lectures • 1h 32m total length

  • Welcome!1:24
  • Meeshkan: Machine Learning the GitHub API12:08

    Welcome to Meeshkan: Machine Learning the GitHub API!

    In this video, we are going to do the whole course from beginning to end in miniature.

    Every subject of this video: building a data collecting algorithm, serving it via a webhook, deploying it to AWS, designing a model, running the model on Meeshkan and visualizing the results, will be the subject of separate videos where we will explore each topic in depth.

    And don't worry if you feel that it goes by fast, it's normal!  Eventually, you'll be this fast with this stuff too.  The most important thing is to realize that working with AI can be fast, fun and easy if you have the right tools.

    So for this video, sit back, relax and enjoy the overview!  You'll get some hands-on experience starting from the second lesson.

Requirements

  • You should have basic familiarity with Machine Learning. JavaScript knowledge is a plus!

Description

In this course, Meeshkan C.E.O. Mike Solomon will teach you how to do Machine Learning on Meeshkan.

Meeshkan is an easy and inexpensive platform where people can explore ideas in AI, Machine Learning and Deep Learning.

This course starts with a simple AI question: can a machine predict if a GitHub project will be successful by analyzing only the first few commits of that project?

The first section of the course will run the Machine Learning project on Meeshkan.  You'll see how quick and easy it is to do Machine Learning on Meeshkan.

The second section of the course will delve into each step of the process in detail, covering data collection, data egress, infrastructure deployment, model design, model executing and result analysis.

By the end of the course, you will be able to adapt the course materials to design, run, and explore your own Machine Learning models using public APIs and the Meeshkan Machine Learning service.

Who this course is for:

  • Anyone who wants to learn about Machine Learning.

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