Udemy course XGBoost Master Class in Python by Mike West
XGBoost Master Class in Python is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the IT Certifications category. Therefore, if you are looking to improve your IT Certifications skills we recommend that you download XGBoost Master Class in Python udemy course.
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- Author: Mike West
- Course rating: 4.1
- Category: IT Certifications
- Modality: Online
- Status: Available
- Idiom: English
Abouth Mike West
I’m the founder of LogikBot. I’ve worked at Microsoft and Uber. I helped design courses for Microsoft’s Data Science Certifications. If you’re interested in machine learning, I can help.
What the udemy XGBoost Master Class in Python course teaches?
What you’ll learn You’ll be able to add your rankings on Kaggle to your resume You’ll be able to take what you’ve learned in the course and apply it to the real world You’ll understand the machine learning workflow You’ll learn why a class of models known as gradient boosters have taken over competitive modeling You’ll learn how to tune an XGBoost model The majority of the course is programmtic with real-world code samples
A Complete Introduction to XGBoost
More information about the course XGBoost Master Class in Python
” An in depth course on XGBoost with code, examples and caveats. Very valuable .” – Thibaut ” This was a very comprehensive course on the benefits and how to configure the gradient booster XGBoost .” Kevin K ” Nice and quick course with concise code examples. I would recommend to someone with a bit of ML experience, not for beginners (as he says in the first lecture) .” Alex G. “Good breadth of coverage on this topic. Good examples and documentation. To elaborate on the who-this-is-for section, if you know machine learning but not XGBoost specifically, this is for you.” Louis B “Great code samples to get started on my own problems. Thanks!” Stephen E. Welcome to XGBoost Master Class in Python. My name is Mike West and I’m a machine learning engineer in the applied space. I’ve worked or consulted with over 50 companies and just finished a project with Microsoft. I’ve published over 50 courses and this is 49 on Udemy. If you’re interested in learning what the real-world is really like then you’re in good hands. There’s a big difference between real world machine learning and what you read everywhere else. This course is going to focus on the real world. The real world is often referred to as applied machine learning. Important – I want you to take my course, however, I want the course to be right for you. This is NOT an entry level course in machine learning. You’ll need have a solid background in core Python. If you haven’t taken my courses on data wrangling and core Python for machine learning please do that first. This is a master class but what does that mean? It simply means the course is more advanced. You’ll need to have a solid background in Python and I’d suggest a well rounded background on the fundamentals of machine learning. In applied machine learning almost all your models will be supervised learning models. That simply means you’ll build your models against existing data. That data will be in the shape of an array. Think of an excel spreadsheet. Most models will require your data be in that specific shape before they can model it. In competitive modeling and the real world, a group of algorithms known as gradient boosters has taken the world be storm. They’ve won almost every single competition in the structured data category. In this course I’m going to show you how to use them to score high on the world’s most competitive machine learning competition. Kaggle . Here’s what you’ll learn: Define gradient boosters Cleanse your data for success Build award winning models with XGBoost Use them on your real world models Add the ranking to your resume Competitive modeling tells employers you understand the basics of the machine learning workflow. If you can work through the machine learning workflow from end to end your chances of securing a job in this space are greatly improved. Make no mistake, the barrier to entry in this space is large . While this is only one step in a long arduous process to becoming a real world machine learning engineer, it’s one of the most important things you can do right now to build your skills and your resume. If you really want to be a part of one the most exciting career paths in the world then take this course now !!!