Scheduled for release on February 17th, 2017.
Remember, you'll get the entire masterclass, plus bonuses.
Project #1: Meet the quartermaster.
Before every mission, James Bond meets with Q to see his new gadgets. We’ll do the same in our first project. Think of this as an “orientation project on steroids.” We’ll introduce all the key concepts and libraries that will help us throughout the course.
Project #2: Become a real-estate mogul.
In the Project #2, we’ll build a complete real-estate valuation engine. We’ll take housing and geographic data and build a pricing model for homes. This is the perfect project for diving deep into different regression techniques.
Project #3: Improve employee retention.
Project #3 dives into HR Analytics, a exploding use of machine learning. We’ll build a classification model for predicting employee likely to quit based on factors such as the average number of hours worked per week and time since last promotion.
Project #4: Discover customer segments.
In Project #4, we’ll explore how unsupervised learning can help us perform smarter marketing. We’ll take customer behavior data and use clustering methods to group them into different segments.
Bonus #1: Quickstart Setup
Setup will be a breeze, even if you’re a complete beginner. You’ll enjoy a step-by-step quickstart setup guide, reusable checklist, and all the datasets in one ZIP folder.
Bonus #2: Companion E-Book
That’s right, there’s no need to take notes as you go along. You can immerse yourself in the projects and focus on having fun. You’ll get a complete companion PDF bursting with information.
Super Bonus #1: Premium Support
Get access to priority email support dedicated to answering customer questions. Stuck? No problem… You’ll enjoy ultra-fast turnaround times, even over the weekend.
Super Bonus #2: Lifetime Updates
Learn at your own pace, with free lifetime access and updates. And we intend to do everything we can to keep this the best practical machine learning course on the planet.
Questions you may have...
Q.Do I need to know Python to take this course?
A.While programming skills certainly help, we include a Python crash course that covers the essentials needed for machine learning. If you’ve never programmed before, then we recommend spending longer on Project #1 before continuing on to the other projects.
Q.How does this compare to Andrew Ng's machine learning course (at Stanford)?
A.We think Andrew Ng’s machine learning course is fantastic. However, it’s heavy on theory and very light on practice. This course is the missing link between academic theory and the real-world best practices professionals are actually using.
Q.Can I list these projects on my resume/LinkedIn profile?
A.Yes, absolutely. In fact, we’re going to show you easy ways you can customize and extend each project and make it really unique for you. We want you to learn the skills and walk away with some shiny trophies to show for it.
Q.What if I don't like the course?
A.Our philosophy is very simple: if you don’t learn, we don’t earn. If you’re unhappy with the course for any reason, simply email us within 30 days of receiving it, and we’ll give you a full refund, no questions asked.
Q.How does the pre-order process work?
A.When you pre-order, you’ll get a huge discount for the entire course. You’ll get access right away when it’s released on February 17th, 2017. Also, your 30-day refund guarantee extends to 30 days after you receive the course.
Q.Do I need a background in statistics/math/CS?
A.It helps, but it’s not required. In this course, you’ll learn the practical skills needed to actually get results. If you do decide to later catch up on the math and theory, this will give you an incredible foundation.
Q.I'm interested, but a little too busy...
A.We know that many people are interested in machine learning, but are too busy to study it full-time. That’s why our goal was to create a self-paced course that’s fun and accessible. We get straight-to-the-point, wasting no time on theoretical ramblings.
Q.Will this help me become a data scientist or ML engineer?
A.Short answer: Yes, very much.
Long answer: This course was created to help anyone in any industry apply machine learning to get professional-grade results. Companies want to see if you can deliver value, so these business-oriented projects are 100x more impressive than academic ones.
Q.Is this course compatible with Python 3?
A.Yes, this course is compatible with both Python 2.7+ and Python 3. In fact, our bonus Quickstart Guide will help you painlessly get set up with either version of Python and all of the required libraries.
Q.What if I have another question?
A.Send us an email, and we’ll be happy to answer it! You can reach us at support [at] elitedatascience [dot] com.