Applied machine learning for Everyone (Udemy.com)

( 8 Reviews )

Created by: Dan We

Produced in 2021

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course Description

python machine learning ai ? What? How to?... "From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!" Machine Learning is currently one of the hottest topics out there. From movie recommendation systems to self driving cars - technology shifts towards ML. Google, Amazon, Microsoft and co. all applying machine learning algorithms to create new products and better serve their customers. The working place of tomorrow is related to ML. No wonder that interest has drastically risen. The difficult question for beginners is how to get into it. From my personal experience the best way is to get one-'s hands dirty and apply machine learning in practice. Instead of spending long hours and try to understand all theory behind it, it-'s much better to simply execute it because at the end of the day, it boils down to that. This course addresses "advanced beginners" and is all about executing machine learning in python. We cover some theory along the way but mostly focus on applying it. If you want to start in machine learning I would recommend checking out my course "Machine learning for Beginners" first, since it covers more basics. However it is not mandatory. Note that all my courses require to understand at least some basics of machine learning and are hands on practical coding courses. If that's your way of learning it, than this course is for you!

Enough said. We got a lot to do. See you in the first lecture.

Addon Updates: If you want to dive deeper into Neural Nets and learn to understand and program more than check out my additional courses which cover additional content which will give you additional knowledge.

A beginners guide for building neural networks in tensorflow
neural networks transfer learning and sentiment prediction
How neural networks work - a glimpse into math for beginners
A crash course in neural networks for beginners
A crash course in neural networks for beginners - deep dive
machine learning and neural networks mini case studies
neural networks for beginners from scatch
machine learning with text for beginners

You can easily find them by checking out my instructor profile.
Who this course is for:

"advanced beginners" in machine learning
students who joined my other courses and want to extend their machine learning warchest
students who prefer a hands on approach for learning
all people who want to dive into one of the hottest topics out there

Time: 2h

Instructor Details

Dan We

4.5 Rating
8 Reviews

Dan is a 30 year old entrepreneur ,data scientist and data analytics / visual analytics consultant. He holds a master degree and is certified in Power BI as well as a Qualified Associate in Tableau software. He is currently working in Business Intelligence field and helps major companies to get key insights from their data to deliver long term growth and outpace their competitors.He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession or explore a new career path."Helping others is the greatest joy""In order to do the impossible you need to see the invisible""If you don't like where you are then change. Life is too short!" You can do it!

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All courses by Dan We

Reviews

4.5

8 total reviews

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Write a Review

By Ente Django

great course. Amazing what's possible with machine learning.

By Bb_blue vayner

not much theory but if you want to learn to code it is a great course

By SelinaBlack

This was a good course. The tools are really relevant and help to get deeper into the machine learning topic.

By JChase

very practical hands on. I really liked the last example where the prediction was made.

"Survived or not Survived, that is the question"

By Marissa M

very practical. Sometimes a few more explanations would help but I definetly recommend this course.

By Lalit Somnathe

It was really good tutorial.

Only the image augmentation part was a bit high level at this stage of machine learning student :) .

By Anthony Lee

Content is good, good pandas and LabelEncoder tricks.

Not sure if the pd.read_csv had some typos on the variables name. Maybe it is my mistake, I expected to have 4 vars where they are x_train/test and y_train/test.

By Bernadetha Ayu