Elena Sharova
where else to find them
no profile links on file
what they talk about
where they keep going back
- PyData London2 editions2018–2019
on a stage with
never shared a talk
who talks about the same things
- Soledad Galli2 talks
- Wojtek Kuberski7 talks
- Cameron Davidson-Pilon3 talks
- Raghavender Puchhakayala2 talks
- Hannah Frick3 talks
- Jake Coltman2 talks
| title | conference | date |
|---|---|---|
| How to Validate you Client Churn Model | PyData London 2019 | 2019-07-12 |
Claims a survivals-based churn predictor built for ITV using the Cox Proportional Hazards model and the Telco dataset, fit with the Python lifelines package… | ||
| Unsupervised Anomaly Detection with Isolation Forest | PyData London 2018 | 2018-04-26 |
Isolation Forest is an ensemble of extremely randomized trees implemented in scikit-learn and the claim is concrete: on KDD Cup 99 and SF variants it reaches… | ||
| nothing matches | ||