Train in Data Reviews

After watch this classes, i change the way i think about data science. The topics are very relevant. The explanation is very good. I don't have English as my first language and i was able to understand all classes.

Very good explanation in all videos.
The codes are easy to understand and well organized
All content are very relevant

i didn't find any cons.

In general - I viewed many of the courses they have. I would recommend it for any data scientist that wants to broaden their horizons.

They teach you some topics and sections that you don't see in most of the data science courses out there.

I wish there were more courses to add. More statistical related or deep learning courses could be great.

Overall, this course is an outstanding and highly recommended investment for any data scientist or ML practitioner looking to solidify their foundational knowledge. It successfully demystifies a wide array of feature selection techniques, empowering you to make informed decisions in your modeling pipeline. The pros significantly outweigh the cons; the knowledge gained in improving model interpretability, reducing overfitting, and decreasing training time is immense.

Lucid explanation with hand on. Clear explanation for Filter, wrapper and embedded feature selection. Feature selection for both regression and classification. This course was an incredibly thorough deep dive into the critical yet often overlooked art of feature selection. I was particularly impressed by the perfect balance between theoretical foundation and hands on .

Need more research oriented feature selection methods such as meta heuristic feature selection. Furthermore, the course primarily focused on traditional tabular data . But more complex real-world capstone project would be beneficial to researchers. Need few more advanced topics to address meta heuristic feature selection

Great learning experience overall. I had the opportunities to learn the principle under the hood of an algorithm which is very crucial to become a well rounded Data Scientist.

Great learning content in depth. Also, it gets into the bottom of a topic not just superficial implementation.

The video quality fluctuates occasionally. Even if I force the quality to 1080p the quality degrades.

Train in Data provides very well-structured training with clear, objective, and easy-to-follow content. The courses are diverse, up-to-date, and include practical examples that truly support the learning process. My experience has been excellent, and I highly recommend it to anyone looking to deepen their knowledge in data and technology

Updated and well-explained content
Wide variety of training courses
Practical and applicable examples

Could include Portuguese (Brazil) subtitles in all courses

Overall, the course provide the essence of feature selection in machine learning. Not only show case, open source tools, it provides theoretical explanations with short presentations.

A concise course on Python libraries for feature selection, with an appropriate blend of examples and theoretical details, complemented by simple visuals and explanations. The recommended reading materials from industry and academic research further complement the course content.

A final project on a real-world complex dataset, showing how to choose an appropriate feature selection approach while considering practical issues, would be highly beneficial.