Description
Based on the students marks and behaviour classify them into groups and generate a model to predict the outcome of the new entry.
Pre-requisites/Implementation Technologies
Technologies |
---|
1 . Machine learning |
2 . Python |
Note: One kit will be provided per team for practice.
Project Development Lifecycle
Day | Action plan | Detailed Plan |
---|---|---|
Day 1 | Data collection for business problem | Understand business problem, collect the data or generate a dataset. |
Day 2 | Understanding the data | Clean the data and visualize the data. |
Day 3 | Pre process the data | Select proper features from dataset and pre process the data set. |
Day 4 | Modeling | Generate a Machine learning model and check the accuracy try to improve the accuracy. |
Day 5 | Tuning and comparison of models | Generate multiple models for the same data and compare the result. |
Day 6 | Result and reports | Finalize the best model and visualize the result. |
Team Size and Price
Team Size | Price for Team |
---|---|
4 | 4000 |
Note: A team can have maximum of 4 members.
Tech Coach

Technical Trainer