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Quality Score

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Overall Score : 92 / 100

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Course Description

What is machine learning / ai ? How to lean machine learning in python? Good questions here is a point to start searching for an answer. "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!"
In the world of today and especially tomorrow machine learning will be the driving force of the economy. No matter who you are, an entrepreneur or an employee, machine learning will be on your agenda. It's time to get your hands dirty and dive into one of the hottest topics on this planet. Besides self driving cars, one of the main challenges in machine learning is textanalysis. Figuring out which text is relevant or what is the sentiment of certain comments could drastically improve performance on all kinds of issues. Just think about the presidential election or the stockmarket development. Impossible is nothing. If you decide to take this course and master it to the end, you will be able to do this kinds of tasks and much more. Exited? Hope you are. Can wait to see you in the first lecture and start coding.
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.
  1. A beginners guide for building neural networks in tensorflow
  2. neural networks transfer learning and sentiment prediction
  3. How neural networks work - a glimpse into math for beginners
  4. A crash course in neural networks for beginners
  5. A crash course in neural networks for beginners - deep dive
  6. machine learning and neural networks mini case studies
  7. neural networks for beginners from scatch
  8. machine learning with text for beginners
You can easily find them by checking out my instructor profile.
Who this course is for:
  • Everyone who wants to explore machine learning in practice
  • The course is for beginners in datascience. We code together!

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Instructor Details

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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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Reviews

4.6

11 total reviews

5 star 4 star 3 star 2 star 1 star
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By Prashant P

Ultimate explanation.

By Steven Miller

Really enjoying this!

By JChase

I enjoyed the course. I was able to follow along and learned some interesting code

By Ente Django

This was a very helpful course for me, clear structured and understandable. I will apply this and hone my skills further now.

By Joe Flatten

A great course to start machine learning with text. I had little preknowledge but was able to follow along and understand it.

By Gregory Bronn

Overall, it is a very basic introduction to text analysis. I was hoping that the sentiment analysis portion would have been more interesting, but it largely centered on using an add-in module, and a good chunk of the discussion went towards importing and setting it up rather than explaining the output. Room for improvement.

By Klaas Eleven

It's a good refresher and valuable content. As often quoted: "The best part at the end".

I think is was a good idea from the instructor to switch to the Jupyter Notebook which makes it easier to read the code.

The lectures are well explained. You know exactly what you do and why.

By Thomas Jump

A hands on but good to follow introduction into the area of text machine learning.

By Kepa J. Rodriguez

Informative and easy to follow. Easily adaptable to oder user cases.

By Sue

fairly good match

By Alexei Lisitsa

great