HiCounselorReviews of hicounselor.com

The Project "Health Insurance Cross Sell Prediction Skills" is a great way to practice data science and also get ready for interview

Tried the recent live data science project on HiCounselor's website for prediction of cross-selling health insurances using Machine Learning models in Python. It was a clearly explained set of tasks and was useful to brush up on functions and logic used for such ML tasks. Great experience working in the Sandbox of HiCounselor! I thank HiCounselor for holding the project.

It was a great project. Only thing which I feel can be improved is a demo session to be provided for the task completion. I was held up in a particular task for 20 mins because the instructions were not clear (error was related to the environment). Apart from this, it was a great experience and people should participate in such projects.

Great experience!!! Good platform with lab!!

It was a nice project. However, the only disadvantage was connecting the database with the Jupyter as there is no clear instructions around it. Good for introductory Pandas and SQL, the project includes activities like loading, cleaning, exploring, and analyzing data. 1 thing they can improve is give a demo on different tasks in the sandbox. It shows that we can re-attempt the project, but there is not option visible. I wonder how other people were able to re-attempt it more than 20 times. Other than that, it was a good experience.

Great experience doing anime project at Hicounseler.

One can gain hands on experience looking for Jobs. Using Pandas and SQL, the project includes activities like loading, cleaning, exploring, and analysing data. The challenges structured format guarantees that the answers provide crucial context for understanding the anime dataset. Adding SQL adds another level of intricacy, making it possible to analyse the data in a MySQL database in greater detail.

This is my first project on HiCounselor.com. The machine learning project on "Enhancing hospital efficiency with ML to find out the stay duration of different age group patients" is quite awesome. The project involves data cleaning, feature engineering, machine learning model training using boosting algorithm XGBoost gives a comprehensive overview of how real-world industry level projects work.