Task 1: Machine Learning - Clustering Task: Use any clustering technique to extract patterns or segregate data into groups. User Story: User should be able to provide a data point (a row) and program should be able to identify to which cluster given data point belongs to and why? Hint: Clustering
Task 2: Machine Learning - Classification Task: Train any classification model(s) on the train sheet and test your algorithm on the test sheet. Share target values for the test, we will evaluate from our end. If using multiple algorithms, plz share target values for each algorithm. Also share your algorithm’s train accuracy and mention the reason behind choosing your algorithm.
Task 3: Python Task: Use rawdata as input and derive
- Datewise total duration for each inside and outside.
- Datewise number of picking and placing activity done. Sample output shared in output sheet.
Task 4: Basic Streamlit/Flask Task: Represent output of above 3 tasks either in streamlit