AI: Building Machine Learning Projects Step by Step

Get up-and-running via Machine Learning with Python's insightful projects

Machine learning gives you unimaginably powerful insights into data. Today, implementations of machine learning have been adopted throughout Industry and its concepts are numerous. This course is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. The course will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases. By the end of the course, you will have learned to apply various machine learning algorithms and will have mastered Python's packages and libraries to facilitate computation. You will be able to implement your own machine learning models after taking this course.

In this course, you will learn:

  • Explore and use Python's impressive machine learning ecosystem
  • Successfully evaluate and apply the most effective models to problems
  • Learn the fundamentals of NLP—and put them into practice
  • Visualize data for maximum impact and clarity
  • Deploy machine learning models using third-party APIs
  • Get to grips with feature engineering

This course is a combination of six independent projects, each taking a unique dataset, a different problem statement, and a different solution.


Course Curriculum


  Section 1 Build an App to Find Cheap Airfares
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  Section 2 Forecast the IPO Market Using Logistic Regression
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  Section 3 Create a Custom Newsfeed
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Bill Gates Says These Are the Jobs He Would Drop Out of College for Today

If he were to go into computer sciences today, Gates said, the area that he thought had the most potential was artificial intelligence. Gates brought up a recent victory by Google DeepMind over the top player in the world at Go, a game some predicted a computer could never master. He called it a remarkable achievement that signaled there is more to come in advancement in artificial intelligence. And he said the research being done in the field now is "profound" and on the verge of making new breakthroughs. "The ability for artificial agents to read and understand material is going to be phenomenal," says Gates. "Anything connected with that would be an exciting lifetime career."

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Frequently Asked Questions


Why join this course?
Short answer - AI is fun, and it pays very well! Want to start a career in the exciting field of Deep Learning, Machine Learning, and Artificial Intelligence? This course is an excellent start. Yes, AI jobs pay a LOT more than regular programming jobs!
What if I don't know how to program?
No worries. We'll have you up and running in no time. And we'll step you through every single line of code as we go in case you get lost. If you have a familiarity with some high school mathematics, you're not going to have a problem learning this course with our help!
What devices are supported?
You can take the course from any device and any location, as long as you have an internet connection. All lectures are optimized for mobile or desktop viewing.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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