Session 5 - [Udemy] Python for Data Science and Machine Learning ...

This is a past event

49 people went

Science Logic

10700 Parkridge Boulevard #100 · Reston, VA

How to find us

Doors gets locked at 7pm - there will be a note with a number to call at the door (please call the number and do not bang the door!!)

Location image of event venue


We request you to keep your RSVP updated if your plans to attend change. [RSVP yes ONLY if you plan to attend in person]

IMPORTANT : Please volunteer to facilitate one (or more) of the sections being covered in this meetup. If we do not have facilitators, we will split into groups to prepare for 20 mins and each group presents the highlights for 10 mins each.

Agenda :

6:00 pm - 6:15 pm : Meet and greet with Pizzas
6:15 pm - 6:30 pm : Meetup announcements
6:30 pm - 8:00 pm :
Section 19 and 20 Presentation (continued from last meetup)
Sections 21 onwards discussion -- Udemy course "Python for Data Science and Machine Learning Bootcamp"

Thank you, Science Logic, for being a sponsor - facility and food.

Thank you to Doug Rohde from Science Logic for helping facilitate the room availability.

Let's continue our Deep Learning journey after Andrew's two-session primer to Deep Learning and Santosh's uber-interesting talk on Brain Computing Interfaces (BCI). We will surely have more talks from both of them in the near future (in 2019!).

One of our other objectives for this meetup is co-learning as a data community. We would like to kick that off with this Udemy course "Python for Data Science and Machine Learning Bootcamp" - this is continuation of Nov 29th and Feb 7th meetup.


May 2nd session will focus on Section 21 through 26 - all machine learning related!

Section 21-26 - Needs volunteer

How to Participate?

Please register and complete these sections prior to the meetup. We want these sessions to be as interactive as possible.

Please come prepared with questions, issues with setup of environment, coding questions related to these specific sections.

Word of advice: Watch out for course coupons to buy the course at a nominal price. If anyone has coupons, please do share - the attendees will much appreciate the gesture.