Based on the students information we classify mental disorder and parent satisfactions. Both binary classifications problem we solved by traditional machine learning. algorithms. There are two sperate notebook as well as datasets. In the datasets folder we have two datasets for diffrent classification problems. After the train our models then we just saved pkl file in the saved_model folder.
Once python3 is installed, install all the dependencies by running the below command.
pip install -r requirements.txt
These datasets are part of #BuildwithAI 2021 Hackathon. Its originally came from kaggle. here are the link of the both datasets.
- xAPI-Edu-Data.csv - https://www.kaggle.com/aljarah/xAPI-Edu-Data
- data.csv - https://www.kaggle.com/namanmanchanda/entrepreneurial-competency-in-university-students
Second datasets we did modify for our purpose.