Mark West
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no series more than once — all 4 in the filters
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who talks about the same things
- Vincent D Warmerdam22 talks
- Marysia Winkels9 talks
- Kevin Lemagnen3 talks
- Allen Downey9 talks
- Josip Saban6 talks
- Tess Ferrandez-Norlander24 talks
| title | conference | date |
|---|---|---|
| A Practical-ish Introduction to Data Science | GOTO Oslo 2020 | 2020-03-03 |
Uses the Titanic CSV (891 rows) to build a decision‑tree classifier predicting survival from age, gender, and ticket class; missing ages are imputed by… | ||
| Deconstructing Deep Learning | Big Data Conference Europe 2019 | 2019-11-26 |
Covers concrete implementations: a CNN built in Keras/TensorFlow runnable in Google Colab, with five hidden layers, 32 convolutional filters, max pooling and… | ||
| A Practical-ish Introduction to Data Science | Big Data Conference Europe 2019 | 2019-11-26 |
Argues that data science needs theory before tinkering and demonstrates it with real tools and numbers: uses scikit-learn and pandas inside a Jupyter notebook… | ||
| A Practical(ish) Introduction to Data Science | Jfokus 2019 | 2019-02-04 |
Defines data science vs BI, shows practical steps to go from hypothesis and messy data to production-ready models, and emphasizes feature engineering and role… | ||
| A Practical Introduction to Data Science | NDC Oslo 2018 | 2018-06-11 |
Explains building a data science capability from scratch, uses scikit-learn and pandas with Jupyter/Anaconda, and shows a practical Titanic demo where missing… | ||
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