Python For Machine Learning (Udemy.com)

Go from Complete Beginner to Ready to take on Machine Learning in one Course!

Created by: John Williams

Produced in 2018

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What you will learn

  • Know enough Python to code Machine Learning examples
  • Be able to write and read Python

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Quality Score

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Overall Score : 50 / 100

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Course Description

In this course we start from nothing, zilch, zero....no knowledge of Python. No knowledge of Machine Learning...and build you up gradually, one small piece at a time, to being able to understand and write complex Machine Learning models and experiments in Python.
After you complete this course, you will have gone from babe in the woods to being able to damn near take on anything!
Python is a general-purpose programming language that is probably the fastest growing computer language not only in academia but in industry.
Python is simple, clean, easy and fast and lets programmers do more things with less and easier to understand code.
Not only that, Python has many cool libraries that allow anyone to do sophisticated math, data operations, charting and analysis.
This makes Python perfect for Machine Learning.
There alot of great courses out there for Machine Learning...but this is just a basic Python course, whose goal is to teach you just enough Python so that you are ready to dive headfirst into Machine Learning.
In this course I assume you know nothing, but the english language, how to operate your computer and some basic math.
My goal in this course, as all my courses, is to make learning what could be considered a complicated topic, easy and fun.
I'm sure we've all watched tutorials before where the instructor was teaching something complex and one minute we follow what he's doing and then in the next second we're completely lost.
I do my best to not be that instructor and walk you through everything gradually, making sure that everything I show you is something you can do on your own.
So please join me in this journey.

Don't just watch the videos but do the exercises and examples along with me.

Download and play with the source code.

Ask questions...interact with me and the other students...dont just take a course but make friends!

Well enough of the intro...join me now in Python for Machine Learning.

Who this course is for:
  • Beginners who wish to learn Machine Learning but don't know Python
  • Beginners who wish to learn Python
  • Non Technical Entrepreneurs interested in Python or Machine Learning
  • Anyone interested in Machine Learning but doesn't know Python
  • Anyone who wants to learn Python but find tutorials move too fast
  • Anyone who wishes to learn Programming but finds tutorials move too fast

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Instructor Details

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Hailing from Atlanta, Georgia, John cut his business teeth in the Atlanta independent music scene in his early twenties, acquiring many hard earned lessons.
John has walked many paths over the years, from traveling country with platinum recording artists, to selling cds and dvds out of his car, to working on a cattle ranch outside Houston and organic farm in Northern California to attempting to bootstrap his own media start-up from the heart of San Francisco.
After many adventures, John now leads a quiet life as a software developer in Austin, Texas, studying machine learning and practicing, competing and occasionally coaching Brazilian Jiu-Jitsu.
John is a passionate student of Software Development, Computer Science, A.I, Machine Learning, The Mind, Brazilian Jiu-Jitsu, the Occult, loves cats and Horror Fiction.

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Reviews

2.5

4 total reviews

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By Shashank Khandelwal

This Course is more likely to be called as "Python for Absolute Beginners" not "Python For Machine Learning". It's my suggestion for this course that either you should change its name or add more content to it like Much more about numpy not just introduction, data visualization could be using Seaborn or Matplotlib, Panada's DataFrames. At least you should add these topics if you want people to purchase it and it's feel like a worthy one.

By Saman Kapali

Offers very little in regards to its title, kind of misleading.

By berkay altındiş

More examples could have been given. Also, some exercise problems could have been provided.

By Swastik Rath

Awesome and Interesting Course