Meeshkan: Machine Learning the GitHub API

Meeshkan: Machine Learning the GitHub API, available at Free, has an average rating of 4.45, with 15 lectures, based on 90 reviews, and has 18912 subscribers.

You will learn about Collect and analyze a large dataset using Meeshkan. This course is ideal for individuals who are Anyone who wants to learn about Machine Learning. It is particularly useful for Anyone who wants to learn about Machine Learning.

Enroll now: Meeshkan: Machine Learning the GitHub API

Summary

Title: Meeshkan: Machine Learning the GitHub API

Price: Free

Average Rating: 4.45

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Collect and analyze a large dataset using Meeshkan.

Who Should Attend

Anyone who wants to learn about Machine Learning.

Target Audiences

Anyone who wants to learn about Machine Learning.

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.

Course Curriculum

Chapter 1: Let's (Machine) Learn!

Lecture 1: Welcome!

Lecture 2: Meeshkan: Machine Learning the GitHub API

Chapter 2: Machine Learning with Meeshkan – Step by Step

Lecture 1: Setting Up Your Data Collection Environment

Lecture 2: Collecting Data

Lecture 3: Downloading the Webhook Source Code

Lecture 4: Serving Data via a Webhook

Lecture 5: Getting Familiar With YAML

Lecture 6: Deploying Infrastructure

Lecture 7: Machine Learning and Keras

Lecture 8: Designing Your Models

Lecture 9: Signing Up for Meeshkan

Lecture 10: Running Your Models on Meeshkan

Lecture 11: Downloading the Data Visualizer

Lecture 12: Analyzing Your Models

Lecture 13: You Are the Future of Machine Learning: Go For It!

Instructors

Mike Solomon
C.E.O. Meeshkan Machine Learning

Rating Distribution

1 stars: 3 votes
2 stars: 4 votes
3 stars: 20 votes
4 stars: 36 votes
5 stars: 27 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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