Branch Day1 includes the jupyter notebooks and datasets for Data Handling and Pre-processing - Pandas (N1), Data Vizualisation - Matplotlib, Seaborn (N2) and Numpy(N3).
Instructions to mount drive and link datasets, checklist and Schedule FDP are also included under Day1.
Please note that the links for exersises are included at the end of each jupyter notebook.
As per schedule, the evening session of the master class have hands-on sessions. The structure of the hands-on session is as follows:
- The jupyter notebooks would be provided to the participants via a GitHub Repository that would have some examples and exercises (DIY based).
- The instructor would go over the content of the hands-on session and thereafter if instructor wish, then participants would be divided into smaller groups (called breakout rooms) to work on the exercises of the jupyter notebook for 20-30 mins and during last 10-15 mins the the participants would come back to main room and instructor would discuss about exercise solutions or difficulties.
- In the breakout rooms, the discussion between the participants is encouraged to work collaboratively. The data scientist team members would be visiting the breakout room on round robin basis to assist you in the breakout rooms.
- For assistance with the content or a technical issue in the breakout room, you can unmute your microphone and speak to other participant in your breakout room (Also feel free to type messages in the Zoom chat).
- To request immediate assistance you can use Slack Channel to ask the questions if no one from Sabudh foundation team is around you
- You can also click "Ask for Help" on Zoom client app would send notification to the Instructor of the Zoom meeting.
- Please note that the instructor may be busy attending other requests at that time. If your request is accepted, then a data scientist will be alerted and join your breakout room as soon as they are available.
Mentors would be using a slack channel to communicate with participants regarding their technical questions about the sessions and labs in particular. By now most of you might have joined the channel, but if not the please use the link https://join.slack.com/t/sabudhfoundation/shared_invite/zt-ik9ry9af-cuTUtC220xUDSrG5I7FWig to join Sabudh Foundation Slack Channel.