Dina Bavli
Dina Bavli is a Data Scientist with experience in NLP, Graph theory, NetworkX, churn prediction, and a growing interest in ASR (automated speech recognition).
Her Master's thesis deals with classifying and characterizing persuasion. She is a former teaching assistant for ML and an international public speaker.
She is a data science content writer for workshops, meetups, and online courses, and an official author of the Towards Data Science and Better Programming publications.
Dina is passionate about data, sharing knowledge, and contributing to society. Whenever she can't find a sufficient tutorial, she creates one.
Sessions
Lightning Talks are short 5-10 minute sessions presented by community members on a variety of interesting topics.
Let’s scratch the twitter meta-data together and go below the surface with tweepy. Want to find out if the tweets you follow are trying to persuade you to do things? Have the feeling the advocates for some issues use certain emotions to push you in certain directions? Now you can find out
We live in an era where most human communication is online across social platforms, and the content of those platforms influences our day-to-day decisions.
But, who influences us? And how? And how to measure it using the NetworkX python package.
An introduction to purchase prediction. Also applicable to survival analysis and churn prediction. Including implementation in PySpark.