Mike West
UPDATE: 8/26/2021 – I’ve added a second course. The second course included with this one is called The Fast Track Introduction to Python for Machine Learning Engineers.
I’ve added a second course to this one that will focus more on the machine learning aspect and less on core Python. There will be some overlap but that’s actually good news. The more you see something the easier it will be to remember.
I hope the two courses a compliment one another.
COURSE REVIEWS
This is the best hands–on online class I have ever taken. Very clear instructions. – Donato
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
I have now finished the first one, The complete python course and I have found it extremely structured and clear. I really thank you for your efforts in making these videos. I will now move on to Pandas. I am also looking out for jobs in order to start my career in this exciting field. – Gurukiran A
Instructor Details
Courses : 7
Specification: The Complete Python Course for Machine Learning Engineers
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9 reviews for The Complete Python Course for Machine Learning Engineers
Add a review
| Price | $12.99 |
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| Provider | |
| Duration | 4 hours |
| Year | 2021 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$12.99
Rafiu Sodiq –
Very good to start with.
Iraklis Koutalidis –
Very superficial and hasty examination of the topics.
Donato Powell –
This is the best hands on online class I have ever taken. Very clear instructions.
S Sindhura Rao –
Nice course on python programming & intro to libraries.
Lawrence Egyir –
It sounds like he is reciting a poem:)
Joseph Mendez –
Overview of technologies. That’s all.
Cem Dogan –
Course’s short format is pretty good as it is for beginners. I struggled with Pandas and further sections because usage of arrays , series or dataframe are not well explained then I stopped the course and studied for Pandas and Numpy in another source, after that I could easily completed the course. The information about using numpy and pandas are a bit poor but for easy and fast beginning for ML area, the content is fair enough. Thanks to the instructor.
Daniel McDonald –
I thought it would be a bit more immersive, so far been spending about ten minutes on each topic, and the labs are very basic.
Britney Koleske –
So far it’s good.