Kishan Manani
Employers on the program
- 2019Farfetch1 talk
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 14, 2024 | PyData London 2024 | PyData | talk | Backtesting and error metrics for modern time series forecasting Evaluating time series forecasting models for modern use cases has become incredibly challenging. | |
| Jun 17, 2022 | PyData London 2022 | PyData | talk | Feature engineering for time series forecastingTo use our favourite supervised learning models for time series forecasting we first have to convert time series data into a tabular dataset of features and a…Show lessTo use our favourite supervised learning models for time series forecasting we first have to convert time series data into a tabular dataset of features and a target variable. | |
| Nov 15, 2019 | PyData Cambridge 2019 | PyData | talk | Practical methods to optimise model stability: case study using customer-lifetime value at Farfetch as Farfetch |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ian Ozsvald | 3 | — | 2024 |
| Cheuk Ting Ho | 2 | — | 2024 |
| Chris Fonnesbeck | 2 | — | 2024 |
| James Powell | 2 | — | 2024 |
| Jim Dowling | 2 | — | 2024 |
| Juan Luis Cano Rodríguez | 2 | — | 2024 |
| Nick Radcliffe | 2 | — | 2024 |
| Tania Allard | 2 | — | 2024 |
| Thomas Wiecki | 2 | — | 2024 |
| Davide Sarra | 1 | 1 | 2019 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.