SciKit-Learn in Python for Machine Learning Engineers (Udemy.com)
Created by: Mike West
Produced in 2018
Quality Score
Overall Score : 88 / 100
Course Description
- 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. *FiveReasons to take this Course.* 1) You Want to be a MachineLearning Engineer It'sone of the most sought-after careers in the world. The growth potential careerwise is second to none. You want the freedom to move anywhere you'd like. Youwant to be compensated for your efforts. You want to be able to work remotely.The list of benefits goes on. Without a solid understanding of Python, you'llhave a hard time of securing a position as a machine learning engineer. 2) The Google Certified DataEngineer Googleis always ahead of the game. If you were to look back at a timeline of theiraccomplishments in the data space you might believe they have a crystal ball.They've been a decade ahead of everyone. Now, they are the first and theonly cloud vendor to have a data engineering certification. With their trackrecord I'll go with Google. You can't become a data engineer withoutlearning Python. 3) The Growth of Data isInsane Ninetypercent of all the world's data has been created in the last two years.Business around the world generate approximately 450 billion transactions aday. The amount of data collected by all organizations is approximately 2.5exabytes a day. That number doubles every month. Almost all real-worldmachine learning is supervised. That means you point your machine learningmodels at clean tabular data. We need clean data to build our SciKit-Learn models with. 4) Machine Learning in PlainEnglish Machinelearning is one of the hottest careers on the planet and understanding thebasics is required to attaining a job as a data engineer. Google expectsdata engineers and their machine learning engineers to be able to buildmachine learning models. In this course, you'll learn enough Python to be ableto build a deep learning model. 5) You want to be ahead of theCurve Thedata engineer and machine learning engineer roles are fairly new. While you-'re learning, building your skills and becoming certifiedyou are also the first to be part of this burgeoning field. You knowthat the first to be certified means the first to be hired and first toreceive the top compensation package. Thanksfor interest in SciKit-Learn in Python for Machine Learning Engineers Seeyou in the course!!Who this course is for:
- If you want to become a machine learning engineer then this course is for you.
- If you want something beyond the typical lecture style course then this course is for you.
Instructor Details
- 4.4 Rating
5 Reviews
Mike West
Machine Learning Enthusiast I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman. Over the last five years I've transitioned to the exciting world of applied machine learning. I'm excited to show you what I've learned and help you move into one of the single most important fields in this space. Experience, education and passion I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car. Certifications Certifications are like college degrees, they are a great starting points to begin learning. I'm a Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE) and Microsoft Certified Trainer (MCT). Personal Born in Ohio, raised and educated in Pennsylvania, I currently reside in Atlanta with my wife and two children.
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- Video Duration:
1h - Price: 11.99 Track Price 11.99 Track Price
- Provider:
Udemy - Year:
2018 - Language:
English - Certificate:
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