Udemy course SciKit-Learn in Python for Machine Learning Engineers by Mike West
SciKit-Learn in Python for Machine Learning Engineers 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 Development category. Therefore, if you are looking to improve your Development skills we recommend that you download SciKit-Learn in Python for Machine Learning Engineers udemy course.
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- Author: Mike West
- Course rating: 3.9
- Category: Development
- 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 SciKit-Learn in Python for Machine Learning Engineers course teaches?
What you’ll learn You’ll learn everything you need to know about Python for authoring basic machine learning models. You’ll work through hands on labs that will test the skills you learned in the lessons. You’ll learn all the Python vernacular you need to take you skills to the next level. You’ll use Scikit-Learn to build traditional machine learning models step by step You’ll understand why Python has become the gold standard in the machine learning space. You’ll learn how to answer interview questions specific to modeling in SciKit-Learn.
The Fourth Course in a Series for Mastering Python for Machine Learning Engineers
More information about the course SciKit-Learn in Python for Machine Learning Engineers
Instructor very knowledgeable about the material, and explains it clearly and to the point. Also, gives very good practical examples. – Diana As usual, Mike provides a well made course to teach you about SciKit. The lessons are very short so you are able to absorb the information, and the follow up labs help anchor what you learned. I will be going over this course again because the information is a bit advanced, but I already got a great understanding and feel for SciKit after my first go through of the course. It is recommended you do take the 3 previous courses before you start this one because they build on each other. Mike West is a top instructor on the subject of python and data and his courses are worth the time and spent. – Joseph So far, so good. The quick lectures throw out a lot of information, so I typically watch them again later. Good course thus far. – Ted Welcome to SciKit-Learn in Python for Machine Learning Engineers This is the fourth course in the series designed to prepare you for a real world job in the machine learning space. I’d highly recommend you take the courses serially . People love building models and many think that machine learning engineers sit around and build models all day. They don’t. Take the courses in order to understand what machine learning engineers really do. Thank you!! In this course we are going to learn SciKit-Learn using a lab integrated approach . Programming is something you must do to master it. You can’t read about Python and expect to learn it. If you take this course from start to finish you’ll know the core foundations of a machine learning library in Python called SciKit-Learn , you’ll understand the very basics of model building and lastly, you’ll apply what you’ve learned by building many traditional machine learning models in SciKit-Learn. This course is centered around building traditional machine learning models in SciKit-Learn This course is an applied course on machine learning . Here’ are a few items you’ll learn: SciKit-Learn basics from A-Z Lab integrated. Please don’t just watch. Learning is an interactive event. Go over every lab in detail. Real world Interviews Questions Build a basic model build in SciKit-Learn. We call these traditional models to distinguish them from deep learning models. Learn the vernacular of building machine learning models. If you’re new to programming or machine learning you might ask, why would I want to learn SciKit-Learn ? Python has become the gold standard for building machine learning models in the applied space and SciKit-Learn has become the gold standard for building traditional models in Python. The term “applied” simply means the real world. Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The key part of that definition is “without being explicitly programmed.” If you’re interested in working as a machine learning engineer, data engineer or data scientist then you’ll have to know Python . The good news is that Python is a high level language . That means it was designed with ease of learning in mind. It’s very user friendly and has a lot of applications outside of the ones we are interested in. In SciKit-Learn in Python for Machine Learning Engineers we are going to start with the basics . You’ll learn the basic terminology, how to score models and everything in between. As you learn SciKit-Learn you’ll be completing labs that will build on what you’ve learned in the previous lesson so please don’t skip any. *Five
Reasons to take this Course.* 1) You Want to be a Machine
Learning Engineer It’s
one of the most sought-after careers in the world. The growth potential career
wise is second to none. You want the freedom to move anywhere you’d like. You
want to be compensated for your efforts. You want to be able to work remotely.
The list of benefits goes on. Without a solid understan…