Rules and Regulations
General rules:
1. You can only participant Solo
2. No Entry Fees.
3. All teams must register by 25th of January. Late registrations will not be accepted. Late registrations will not be accepted.
4. All the Participants will be presented withE-Certificate .
5. The Event is based on getting Insights of an Dataset, which will be provided on the day of the event.
6. All participants must ensure respectful and fair behaviour.
7. First 40 Participants only will get Opportunity in the Data Sprint.
Event rules:
1. The event will be at 10:30 am to 3:30 pm. All submissions must be completed by the end time.
2. Projects must be original and created during the event Using pre-existing code is not allowed. Plagiarism will result in disqualification.
3. All projects must align with the given problem statement.
4. Allowed Tools:
Data Analysis Tools :
Python, R, Power Bi, Jupyter Notebook, Excel
Machine Learning and Fraud Detection :
scikit-learn, TensorFlow/Keras, Autoencoders, XGBoost, LightGBM,
OpenRefine, FeatureTools, PyOD and Fraud Detection APIs.
5. Participants will focus on Fraud detection and Predictive Modeling capable of Forecasting Trends for next 50 years.
6. Participants are expected to submit a report including problems idetification and solution based on prediction.
Participants rules:
1. To all Participants we will provide System for the Event.
2. Tables, Seats and Connectivity will be provided
3. Participants will be responsible for any damage caused to the equipment, facilites, or systems during the event.