Skip to content
This repository has been archived by the owner on Mar 4, 2022. It is now read-only.

Latest commit

 

History

History
98 lines (76 loc) · 2.36 KB

2020-12-20-python-2-data-cleaning-python.md

File metadata and controls

98 lines (76 loc) · 2.36 KB

Guide from MLH

About these Workshops

Basic TrAIning is a series of three workshops developed in partnership with Capital One to teach Python skills for Artificial Intelligence use cases.

Part II: Data Cleaning

In the second workshop in this series, participants will use data cleaning techniques to improve the data set they retrieved from Twitter using regular expressions.

Requirements / Prerequisites

No special software is necessary. Computers that can connect to the internet are all that’s required!

System Requirements:

  • The latest version of Google Chrome is the preferred browser for this workshop, but it’s not required.

Event Schedule

Welcoming, About the Capital One's Basic TrAIning & Kulkul.tech

Welcome the participant and wait for the participant to crowd.

Duration 5 minutes
Time 15.25 - 15.30
Presenter Kulkul's Moderator (TBD)

Networking

Breakout session where participant divided into three groups (assuming 30 participants it will be 10 participants each).

Duration 15 minutes
Time 15.30 - 15.45
Presenter Kulkul Team Facilitator (TBD)

Core Workshop

In this section will dive-in a hands-on workshop based on Capital One's Basic TrAIning Module 2 which covers Data Cleaning.

Duration 15 minutes
Time 15.45 - 17.15
Presenter Kulkul's Speaker (TBD)

Recap & Closing

In the last section we will recap what we have learned and announcing future workshops and opportunity to develop our web python skills.

Duration 15 minutes
Time 17.15 - 17.30
Presenter Kulkul's Moderator (TBD)

Additional Information

N/A