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The Complete Python Course for Machine Learning Engineers (Udemy.com)

Two Courses Now Included for the Price of One

4.3
518 reviews

Created by: Mike West

Last updated August 2021

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Course Description

Reviews "I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful." -Tony
"By taking this course my perception has changed and now data science for me is more about data wrangling. Thank you, Mike:)" -Archit
Welcome to The Complete Course for Machine Learning Engineers.
This series of courses is the only real world path to attaining a job as a machine learning engineer. Machine learning engineers don't build models every day. If you want to work in the real world then focus on learning Python. That's what this course is... Python!!! This is the first course in a series of courses designed to prepare you for a real-world career as a machine learning engineer. I'll keep this updated and list only the courses that are live. Here is a list of the courses that can be taken right now. Please take them in order. The knowledge builds from course to course.
  • The Complete Python Course for Machine Learning Engineers (This one)
  • Data Wrangling in Pandas for Machine Learning Engineers
  • Data Visualization in Python for Machine Learning Engineers
  • SciKit-Learn in Python for Machine Learning Engineers (NEW)
In this course we are going to learn Python using a lab integrated approach. Programming is something you have to do in order 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 Python, you'll understand the very basics of data cleansing and lastly you'll build a traditional machine learning model and a deep learning model. While the course is centered on learning the basics of Python you'll get to see how data cleansing is applied to a data set and how a traditional machine learning model and a deep learning model are built. This course is an applied course on machine learning. Here' are a few items you'll learn:
  • Python 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
  • Data Wrangling overview. What is it? Pay attention to the basics, it's what you'll be doing most of your time.
  • Build a basic model build in SciKit-Learn. We call these traditional models to distinguish them from deep learning models.
  • Build a basic Keras model. Keras is becoming the go to Python library for building deep learning models.
If you're new to programming or machine learning you might ask, why would I want to learn Python? Python has become the gold standard for building machine learning models in the applied space. 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 The Complete Course for Machine Learning Engineers we are going to start with the basics. You'll learn how to install Python all the way through building a simple deep learning model using the skills you've learned. As you learn Python 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 understanding of Python you'll have a hard time of securing a position as a machine learning engineer. 2) The Google Certified Data Engineer Google is always ahead of the game. If you were to look back at a timeline of their accomplishments 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 the only cloud vendor to have a data engineering certification. With their track record I'll go with Google. You can't become a data engineer without learning Python. 3) The Growth of Data is Insane Ninety percent of all the world's data has been created in the last two years. Business around the world generate approximately 450 billion transactions a day. The amount of data collected by all organizations is approximately 2.5 exabytes a day. That number doubles every month. Almost all real world machine learning is supervised. That means you point your machine learning models at clean tabular data. Python has libraries that are specific to data cleansing. 4) Machine Learning in Plain English Machine learning is one of the hottest careers on the planet and understanding the basics is required to attaining a job as a data engineer. Google expects data engineers and their machine learning engineers to be able to build machine learning models. In this course, you'll learn enough Python to be able to build a deep learning model. 5) You want to be ahead of the Curve The data engineer and machine learning engineer roles are fairly new. While you-'re learning, building your skills and becoming certified you are also the first to be part of this burgeoning field. You know that the first to be certified means the first to be hired and first to receive the to
Read More Beginner Beginner Level product length iconTime: 3.8h

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Instructor Details

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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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Reviews

4.3

518 ratings on Udemy

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By Joshua Ogbe

Very good introduction course

By Oyegbolabo Michael Oyerinde

Very easy to follow and understand even for someone new to python

By Pavan Raj Pathak

Simple and easy to understand !

By Diana

Good introductory course. Clear instructions. Mike

is knowledgeable in this field.

By Therence Temfack

So far I find this course very accessible to beginners. A great place to start

By Karuppaiya M

The concept is explained clearly and the syntax purpose is explained line by line. I love this course.

By Ashish Akshantal

It would be more helpful if the quiz and lab practice are more tough and challenging

By Remco Jansen

Easy following and to the point, I like it!

Also handy practical parts and summary's.

I finished! :)

By SCHMITT Benjamin

Great course for beginners in Python who want to get started on machine learning.

Keep up the good work Mike !

By Habiba Muhammad Sani

The course was really excellent. I really enjoyed the basics of python. Thanks a lot

By Benjamin Gramlich

This is a concise, but informative course. If you're new to programming, you'll get a solid foundation in Python 3 and an introduction to the work of Data Engineers. If you're an experienced programmer, there is still much to be learned in this course. The examples with Pandas, Keras, and SciKit-learn were extensive enough to understand the capabilities of each library.

By Andrew J. Kwiatkowski

Mike presents the material in such a manner, and places emphasis where you need it the most. Great introduction!

Showing 12 of 99 reviews

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Overall Score : 86 / 100

The Complete Python Course for Machine Learning Engineers
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  • Video Duration: icon 3.8h
  • Price: $54.99
  • Provider: icon Udemy
  • Updated: icon August 2021
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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