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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