I got a solid dose of knowledge and my idea of what ML looks like in practice was verified. I learned the great importance of feature enigneering and what a correct pipeline looks like and how to verify the hypotheses we test. The consultations, in which I was able to make progress on solving a problem I encountered professionally under Vladimir's guidance, were hugely important to me. The course gave me not only the knowledge, but also the experience of working with real problems and the opportunity to learn the basics of the specific mindset a data scientist should have. I recommend this course especially to people who already know how to program, and who want something more from their professional work than creating more CRUDs or fixing bugs, but at the same time like to analyze dependencies in data and have a certain scientific bent.

By far the best training I have attended. Vladimir made sure to "attack" the topic from every possible angle using a variety of tools (video, text, audio, webinars, slack, etc.). Practically from the very beginning there was a strong emphasis on practice, which sets the course apart from other available materials. Thanks to this fantastic approach, a lot really stays in the head after the course. It is only up to the participants what happens next with this knowledge.

There was a POWER and a HUGE amount of knowledge. I really appreciated the hands-on approach to the topic and the implementation of the nuances. It was a real total immersion in ML!

Bravo Vladimir, great knowledge sold, interesting and challenging exercises and very good webinars. You already have me at the next courses :-)

The course was an unknown to me and I approached it with a lot of distance (how often we are subjected to ,intellectual processing" of which lunch is the best). The Practical Machine Learning course added value with each week and that value eventually overwhelmed the price paid for it. Plus Vladimir speaking and thinking with machine learning - great examples, humor and 24/7 help throughout the course - congrats and a Big Thank You. If you want to learn ML and are looking for sources of knowledge then stop looking - if you are here you just found it!

Perfect course for programmers who want to enter the world of ML. I was very afraid of the huge number of formulas , rules that will discourage me. It turned out that the course showed a simpler face of machine learning, there were a lot of analogies to the real world so it was easier to understand many issues. I recommend anyone who wants to develop in this direction or find out if this is a good direction for the future.

Practical Machine Learning is a course after which knowledge stays in minds for a long time. Participants leave the course equipped with the knowledge, materials and skills to start their own project.

The course contains quite a lot of practical examples, ready-made scripts, theoretical explanations and links to materials for self-expansion of knowledge. I recommend the course to people who want to start their adventure with machine learning and are looking for a place where they can acquire practical skills.

The course met my expectations 200% !!! Its biggest advantage is that all learning is based on solving real life problems with real data! Learning, you can immediately see the practical application of algorithms which is super motivation to learn and also opens your eyes to the possibilities of machine learning.

The whole organization of the course (video, webinar, slack) also to a great, great plus ! You can really see that Vladimir cares about the best possible transfer of knowledge ! I recommend him to anyone who is looking ahead !

It is hard to find materials that are based mainly on practice and contain structured issues in this field. The course allowed me to organize my knowledge and give me a reference of where I can go next . After finishing the course I can already apply ML in a practical way, but I know that this is only the tip of the iceberg.

In addition, I mega liked the approach in the form of stories, anecdotes with such references to the real world. It allowed to better understand the issue at hand.

The course is an ideal introduction to the world of Machine Learning and Deep Learning for anyone. Not only did it allow me to better understand what both fields are about, what algorithms to use and why, but most importantly it gave me a solid foundation for further work. Vladimir is always there to help and tries to make sure that everyone gets help. Also the course community on Slack will give good advice and give a helping hand. It's certainly worth taking part, and if one has a little more money then to buy a higher package.

Very well prepared and valuable course - in my opinion, super training to get started in the ML topic. Highly recommended! :)

The course organized by dataworkshop.eu is the best way to learn ML in practice and build models yourself. If you are interested in ML, the course is the best way to start.

The course met my expectations completely. Everything was clearly and well explained. The instructor cares about the progress of each participant and takes interest in the progress. I definitely recommend and beginners and those already knowing the basics!

Extremely comprehensive and content-rich training based on practical tasks.

Great environment and materials allow you to focus on exploring the material, plus the participants form a helpful community.

I recommend it to everyone, not just programmers.

A huge dose of practical knowledge conveyed in a very accessible way. Infinite number of examples and analogies to everyday life makes understanding the material no problem.

These 8 weeks of the course made me realize what Machine Learning really is and what solving business problems will look like in practice. I can't compare this course to any tutorial or course on Coursera.

What makes this course an incomparable choice is its interactive nature (webinars, Slack discussions) and Vladimir's full involvement. I can say with all responsibility that I have no regrets.

I recommend the course first of all to people who want to see how machine learning and good problem-solving practices look like in practice using it. In addition, they want to learn the basics of Python and quite a cross-section of ML libraries currently "on top".

What distinguishes the ML course taught by Vladimir? The course was prepared in a very thorough and thoughtful manner. During the course, in addition to explaining the various classification and regression models in an accessible way, attention was also directed to details that are important in the application of ML in practice.

If you want to meet an interesting person who has experience in applying ML in production and at the same time has a great ability to explain often complicated methods in a clear way, I highly recommend the ML course conducted by Vladimir.

He promised 100% satisfaction with this course and gave much more. I have the impression that Vladimir puts his whole heart into his work and, importantly, does not leave the course participants with questions spending a lot of his time talking to them and clarifying doubts.

An additional advantage of this course is the opportunity to exchange experiences and opinions on ML topics with both Vladimir and the other course participants.

I highly recommend the course to all programmers, but not necessarily programming in Python, but also to anyone who is interested in data analysis.

In each module, after a brief theoretical introduction, all concepts were "worked through" on interesting tasks, so that I gained new knowledge in practice, gradually learning about new topics.

Already after the first module I was able to use the knowledge I gained to work on my own projects, which I am very happy with. My best investment in 2017 :)

An excellent course in form. Directed at the use of ML as a means of getting value for the business. Knowledge delivered in a very accessible way.

Excellent introductory videos for each stage of the course. The course gave me an excellent "fishing rod" to develop my own projects based on machine learning and neural networks.

I recommend the course to programmers who want to learn the latest techniques related to machine learning and neural networks in no time.

I also recommend it to those responsible for introducing the technology in small startups and large companies. You will definitely learn how to do it and what are the best practices used in production. If you want to develop a startup implementing an idea using ML, you will be able to do it after this course, and maybe even partially implement it in the course!

A great course on machine learning, it covers a wide spectrum of topics - from the basics to more advanced topics. I have no doubt that the material covered in this course is only the tip of the iceberg, at the same time, each topic is presented clearly enough (with practical exercises) that further development in the chosen field should not be a problem.

I recommend the course to anyone who is interested in machine learning, not only to programmers, although a solid foundation in Python seems to be crucial in efficiently going through the various modules.

The workshop helped me systematize my knowledge and try to put into practice the well-prepared sample tasks.

Thanks to the workshop I met other people interested in the topic, I was able to exchange knowledge and I also learned more about XGBoost.

The workshops are worth attending, they are conducted in a relaxed atmosphere, and Vladimir has a gift for explaining complicated things in an accessible form.

If you would like to try your hand with machine learning or talk to others about your experiences, I recommend Vladimir's workshop.

I highly recommend DataWorkshop. It has been a great value for me. Vladimir is definitely knowledgeable and experienced in this field.

However, what makes this course unique, in my opinion, is his approach to teaching:
→ Students first - speaking in a language tailored to the audience
→ Top-down approach - high-level concepts first, details later
→ Clarity - Vladimir's ability to explain difficult topics in simple terms.
→ Real-life examples and analogies.

Although I am a telecommunications engineer and not a certified programmer, after DataWorkshop I was able to successfully implement several ML models at work.

I recommend this course to anyone who wants to master ML and AI quickly.

I went to the workshop in order to learn, and to organize what I knew about Machine Learning so far. I was most interested in learning about Kaggle, and in gaining practical skills, such as how to use Jupyter Notebooks and write my algorithms in them. It's worth noting that Vladimir conducts the workshop in such a way that you can easily keep up before without any special preparation.

Thanks to the clear instructions for preparing for the workshop, I built myself an Anaconda environment and installed basic Python packages for machine processing.

During the workshop, I learned what Python libraries are used to work on in Data Science and what they are used for. So far, I've wasted a lot of time building the environment, choosing Python versions and libraries are supported. The workshop (as well as the preparation for the workshop) helped me get a handle on this in a very short time.

The workshops are held in cool places and there is a pleasant atmosphere and teamwork. Vladimir leads according to a good school :) He starts with a small degree of difficulty and gradually diversifies the examples and develops the main problem. He encourages questions and discussion.

The workshop convinced me that it is worthwhile to explore the field of Data Science, to get interested in Kaggle and, importantly, it is not unattainable if you take the time to do it. They motivated me to develop myself further, and consequently to change my job :) Now I work as a Data Engineer in the Business Intelligence department of General Electric.

I recommend it to anyone who is interested in Data Science and wants to work practically on a problem. If you like asking questions and looking for answers, I highly recommend it.

I recommend the workshop for all people who are curious about the world. The first time I attended the workshop I had no idea about artificial intelligence and even less about its implementation in python.

Today, I can solve similar problems on my own on "production" data. From the workshop I gained not only experience with the implementation of various algorithms, but also a lot of interesting facts about the world, because each time we worked with real data.

I can't hide the fact that sometimes Vladimir introduced elements of competition between participants which further motivated us. I would add that it is also a very cool option for "networking" because you can meet interesting people among the participants.

DataWorkshop with Vladimir is a series of successful meetups on data science domain.

Targeted for beginners and intermediate level scientists, who want to expand their horizons with brilliant cases shared by Vladimir.

Very friendly and informal atmosphere encourages audience to actively participate in workshops and even takeover leading the meeting with their stories (for a few minutes of course).

His broad and deep knowledge on AI and Machine Learning let him inspire the participants and teach them new tools and techniques.

It is hard to organize workshops well, especially for people from different technological backgrounds. But DataWorkshop was a smooth ride, you just needed to follow the instructions provided in advance.

Great thanks :D

Vladmir explains complex Machine Learning (ML) models and algorithms in a very friendly, reliable and practical way. He does an overview of current ML algorithms and practical methods of applying them.

Why attend the Data Workshop? High level of classes and interesting way of presenting topics. I currently do not use AI at work but have such plans for the near future

I recommend Data Workshop to people who want to start the adventure with artificial intelligence and practical ways to apply them

Being fascinated by machine learning, I was looking for different ways to
increase knowledge and skills, which is how I came across Vladimir's workshop.

Thanks to them, I became more familiar with Gradient Boosting methods, which give great
results in practice, but are not very famous. I also practiced and developed
other methods like neural networks and hyperparameter tuning.

The workshop is a good opportunity to meet people who are really learning ML, the topic
has been popular lately, many people are talking about it, but hardly anyone is doing anything.
For people who want to explore ML, I recommend the workshop as an important part of the
the learning process.

I have attended all the workshops so far. It was (is) an extraordinary journey through machine learning. Vladimir presented in an accessible and interesting way, after all, not simple issues of feature engeneration, visualization, crosvalidation, gradient boosting or regularization.

A big plus of the meetings are the source codes in python made during the classes. They are well prepared and, in addition to the presentation of concepts, bring closer the use of interfering libraries (e.g. xgboost, keras).

In addition to the knowledge of ML, I also gained practical knowledge of the tools (python, jupiter notebook), which is useful in my work.

I recommend Meetups with Vladimir to all those interested in ML and BigData.

At the workshop I learned to carry out the entire process of machine learning from data preparation through model training to evaluation and use.

Vladimir explained the issues involved in an accessible way often referring to real-life examples including the business value that machine learning brings.

The workshop improved my knowledge primarily in the practical application of popular libraries to solve real-world problems.

The workshop allowed me to learn the Machine Learning process, from start to finish. From data analysis, to visualization, to the application of various algorithms, to the tuning of the applied solution.

I knew all the "building blocks", but the workshop put them all together and gave some continuity :).

I appreciate the level of preparation of the materials and the knowledge of the topic of the trainer. It was cool to see the use of a different library for visualization than matplotlib/seaborn 😉.

Attending the workshop allowed me to grow in the direction of Data Science and well, I continue to work in this area.

I would recommend this particular workshop (which I attended) to beginners, but who have already had exposure to programming and data science.