Most of the things that were used were not discussed on how to install them. This consumes a lot of time searching them over the internet.

Also, some of the python libraries that were used are deprecated and are not running on our notebooks. This is also not discussed in great detail

Get to learn something new. Like I have not used the interactive dashboard when creating the model. Also get to know about some very useful libraries that I was not using before and I used them more often. Thank you so much for your time and efforts creating this.

Very good content and specific. Very satisfied. However my only complaint is that I hope the creator had explained the interactive decision tree and rf codes such as setting gini, entropy and other min, max values more with reasoning.

Good practical overview of decision tree and random forest model with Python. The interface for code typing is a bit difficult to navigate with some lag time; hence -1 star in the review.

Doing hands on project on Rhyme was very helpful as we could listen to the instructions and learn and type it ourselves.

Interesting project! It could be better if the course explores more theorical fundamentals of the algorithms

It really worth the time and I was exposed to new approach to codes and algorithm.

Excellent approach to predicting employee turnovers!

Good for Foundation!

nice project

very good

More details about the project and libraries used would be helpful to get a good understanding.

The codeing environment is very bad very much lagging

no answers for querries

difficult understanding with it

This is not a project at all. This should include proper EDA, Feature Engineering, Model interpretation (not just showing the visuals, you have to interpret it). Many more basic check points are missing from a practical Project perspective.