Train in Data Reviews 

I really loved the Feature Selection in Machine Learning with Python book by Soledad and also have taken the Testing and Monitoring Machine Learning Model Deployments course in Udemy,

This is an excellent course for understanding various Machine Learning Interpretability algorithms.

I particularly appreciated Sole’s teaching style, which follows a structured approach: first providing the motivation behind each technique, then explaining the algorithm, demonstrating its implementation, and finally showcasing how to use different packages. Throughout the course, careful attention is given to the advantages and disadvantages of each method.

The course is suitable for learners of all levels, from beginners to advanced practitioners. It adopts a hands-on approach by providing Jupyter notebooks that allow learners to experiment with and apply the algorithms themselves, reinforcing both theoretical understanding and practical skills.

I've been meaning to buy this course for quite some time, and I'm glad I finally did. The content is thorough, easy to follow, and supported by well-structured, highly explainable notebooks.

I am impressed about the course so far. The teachings are concise and clear. The notebooks too are clear and concise. There are a few times I need to play back the video to understand, but I can tell the instructor has a deep deep understanding. This material is for working professionals that want to understand the bolts and nuts of making a good model. If you are looking for theory, I don't think this course is for you. Thank for making this course.

Great content for learning and exploring data science from beginners to intermediate to the folks who wanted to dive deeper. They are really helping out other folks.

After 3 years of data science courses on famous training platforms, it's the first time I really understand some concepts. Very well done! I hope this will continue and this knowledge will be shared to many students! Thank you Sole and Kishan!

Really well designed course, at an intermediate level where it can be hard to find adequate materials. Great!

I am extremely satisfied with the courses offered by Train in Data. What truly sets this platform apart is the excellent quality of the teaching. The instructors are clearly experts in their fields, and they have a fantastic ability to break down complex topics into understandable, digestible lessons.

I appreciate how well structured the material is, and the support provided throughout the learning journey is top notch. If you are looking for courses with genuinely knowledgeable and engaging educators, this is the right place. Highly recommend!

Clear well explained, that takes you from beginner to advanced in time series. It explains tried and trusted recent classical time series analysis and modelling. This is key in real world data science and machine learning predictions where end business users appreciate clear, concise and comprehensible models. Thoroughly recommend this course to a beginner in data science or seasoned professional.

I have just finished the Forecasting with Machine Learning training. I strongly recommend it. The concepts were explained in a clear and simple way and the documentation (e.g. notebooks) is very useful

This is a great learning platform and a very good instructor in Machine Learning.

Best content on feature generation for time series that I've seen so far online. I would give it 5 stars if there was more practical exercises and perhaps some theorerical questions to help us reinforce the material.

clear, well structured and straight to the point

Clear & well-structured teaching
I consistently praise the clarity, logical structure, and depth without overwhelming detail.
Balanced theory + application
Courses mix conceptual understanding with hands-on notebooks and real-world examples.
Topical focus for mid-to-advanced learners
Excellent for advanced topics—feature engineering, imbalanced data, time-series—beyond basic ML.
I am highly benifited from Time series courses
Exceptional educator: Converts complex engineering concepts into clear, applied learnings—ideal for both intermediate and advanced practitioners.
Highly practical: Insights grounded in real-world industry experience with robust deployment track records.
Community builder: Active in open-source and knowledge-sharing; a dependable voice in the data science ecosystem.
One little Drawback-presentation quality (audio/video polish) could be further refined

The course is very clear, you can't take it and still have an ambiguous idea about what time series forecasting is.

Solid course, good for beginners and anyone who wants to learn time series. You should have some knowlege about generic time series terms before taking this course. Graphical explanations are easy to understaand and very good to include additional reading material.

This course is amazing!
I'm studing about this techniques and this course helped me a lot.