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| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 190 | 4221 | Python: Machine learning and natural language processing | How to use off-the-shelf unsupervised machine learning, natural language processing, and outlier detection algorithms to find and visualize patterns in data. Sample data includes the Internet Research Agency Facebook Ads released by the Democrats on the House Intelligence Committee. This session is good for: People who have intermediate Python knowledge. | 14 | 2019-03-07 | 2019-03-07 09:00:00 | 2019-03-07 10:00:00 | 0 | 0 | 0 | Jeff Kao, ProPublica | 3 | 3 | Python: Machine learning and natural language processing |