~/talks

Dina Bavli

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Life, Death, and ShoppingPyData Tel Aviv 20222022-12-13
When dealing with survival analysis, the model's success is predicting death correctly. But it can also predict an engine failure, abandonment, or even…
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Everybody Is an Influencer–Which Influencer Are YouPyData Global 20222022-12-01
Classifies influence with graph metrics and a concrete Python tool: uses NetworkX to build follower/mention graphs, measures participation as out‑degree and…
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Life, Death, and ShoppingPyData Global 20222022-12-01
Claims a practical pipeline that turns past event logs into labels for near‑future purchase prediction using sliding run dates and aggregated temporal…
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Deep Into the TweetPyData Global 20222022-12-01
Detailed how-to for harvesting and parsing Twitter data with tweepy and Python, extracting JSON fields (full_text, ids, timestamps, user metadata, hashtags…
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Life, Death, and ShoppingPyCon Israel 20222022-06-28
Step-by-step purchase prediction implemented in PySpark that turns terabytes of retail clickstream into labeled examples by generating moving model run dates…
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