Machine Learning Practical: 6 Real-World Applications (

Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python

Created by: Kirill Eremenko

Produced in 2022

What you will learn

  • You will know how real data science project looks like
  • You will be able to include these Case Studies in your resume
  • You will be able better market yourself as a Machine Learning Practioneer
  • You will feel confident during Data Science interview
  • You will learn how to chain multiple ML algorithms together to achieve the goal
  • You will learn most advanced Data Visualization techniques with Seaborn and Matplotlib
  • You will learn Logistic Regression
  • You will learn L1 Regularization (Lasso)
  • You will learn Random Forest Classifier

Quality Score

Content Quality
Video Quality
Qualified Instructor
Course Pace
Course Depth & Coverage

Overall Score : 76 / 100

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Course Description

So you know the theory of Machine Learning and know how to create your first algorithms. Now what?
There are tons of courses out there about the underlying theory of Machine Learning which don't go any deeper into the applications.

This course is not one of them.
Are you ready to apply all of the theory and knowledge to real life Machine Learning challenges?
Then welcome to "Machine Learning Practical".

We gathered best industry professionals with tons of completed projects behind.
Each presenter has a unique style, which is determined by his experience, and like in a real world, you will need adjust to it if you want successfully complete this course. We will leave no one behind!

This course will demystify how real Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any real experience.

If you are still dreaming where to learn Machine Learning through practice, where to take real-life projects for your CV, how to not look like a noob in the recruiter's eyes, then you came to the right place!

This course provides a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science.

There are most exciting case studies including:
diagnosing diabetes in the early stages
directing customers to subscription products with app usage analysis
minimizing churn rate in finance
predicting customer location with GPS data
forecasting future currency exchange rates
classifying fashion
predicting breast cancer
and much more!

All real.
All true.
All helpful and applicable.
And as a final bonus:

In this course we will also cover Deep Learning Techniques and their practical applications.
So as you can see, our goal here is to really build the World's leading practical machine learning course.
If your goal is to become a Machine Learning expert, you know how valuable these real-life examples really are.
They will determine the difference between Data Scientists who just know the theory and Machine Learning experts who have gotten their hands dirty.
So if you want to get hands-on experience which you can add to your portfolio, then this course is for you.
Enroll now and we'll see you inside. Who this course is for:
  • Data Science and Machine Learning enthusiasts who want to understand how real data science projects look like.
  • Anyone with Machine Learning and Python knowledge who wants to practice their skills

*Some courses are excluded from this sale. Coupon not working? If the link above doesn't drop prices, clear the cookies in your browser and then click this link here.
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Instructor Details

Kirill Eremenko

My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!Hadelin is the co-founder and Director of Technology at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability. Hadelin is also an online entrepreneur who brings educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached over 600,000 subscribers in 204 countries.Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and techn



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Excellent ML course! By reviewing real life examples along with the code, I was able to see how the different methods were supplied to solve various problems. In addition, the multiple use cases reinforced learning. This is among the best courses that I have taken in Machine Learning!

As the lecturer progress to the next one the video quality is getting worst so does the lecture. The last lecture specifically hard to follow.

The quality of the content is awesome. All code ran without a hitch. The only comment would be for the second tutor (fintech analysis) to speak a bit slower.

Its a great course for someone who has learnt machine learning techniques and wants to get into the practical applications of it. I am loving it and i hope you will love it too!!

Some modules could be better. But it is greatly interesting.Disappointed specifically with module 4: the code provided does not work as in the video. It was reported, the information requested shared, but so far no real response on the issue.

Good introduction to applying machine learning. Would have liked to se some of the theory behing, for example, SMOTE and other algorithms explained.

Some nice examples from real life but sometimes with no (or not sufficient) explanation about the road to lead to the models and parameters chosen

Great course to review and understand the impact of Machine Learning on technology. The course uses 6 relevant examples. Great stuff

At a se�o 3 estava muito bom, mas a partir da 4 ficou muito ruim. Cdigo diferente do video, dificil escutar o instrutor, que fala muito rapido. Na se�o final piorou, o ingls do instrutor pssimo.... Cad o Kirill ??

Good course to learn about machine learning and how to use it.But audio in some lectures is too low that it was hard to recognize.Thanks.

This project is utter nonsense, I do not understand anything that the instructor says. Neither do they take any initiative for explaining anything. Especially Mr. Saluca who just keeps writing random lines of code, which have been made to look complex, as if he wanted to prove that he can churn out a few lines in python. Any data transformation that he does, he doesn't show it.You should be imagine what happened. Has there been a quality check pre-uploading? I will probably not buy courses from superdatascience again.

Great course to further your knowledge in Machine Learning. The only real complaint I've is the audio became worse last sections.