
PyData Singapore
Contact: Eugene Teo
X: @pydatasgWebsite: facebook.com/groups/pydatasg
PyData Singapore is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData Singapore is supported by NumFOCUS.org, a 501(c)3 non-profit in the United States. The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the co-organizer: Eugene Teo (eugeneteo[0x40]gmailcom). Github: https://github.com/pydatasg Twitter: https://twitter.com/pydatasg Facebook: https://www.facebook.com/groups/pydatasg/ Meetup Page: https://www.facebook.com/groups/pydatasg/
Videos (39)
7:40About Data Science Indonesia - PyData SG Meetup
39:02cron is so yesterday: scheduling Python tasks with Airflow - PyData SG Meetup
42:08ELT: Breaking away from the tradition - PyData SG Meetup
21:23Innovation Culture at Wego - PyData SG Meetup
1:11:55When lawyers math: An introduction to legal data analytics - PyData Singapore
1:30:52From Scikit-learn to TensorFlow Estimators - PyData Meetup
17:51Big Query Demo + Q&A - PyData Singapore
16:00Android meets TensorFlow - PyData Singapore
49:107 Steps of Machine Learning - PyData Singapore
35:52Real-World applications of ML - PyData Singapore
4:56Stop these fights, embrace data - PyData Singapore
1:06:56Predicting the house rent prices in Singapore - PyData Singapore
1:25:04Working with Social Network Data: Promises and Pitfalls - PyData SG
33:37Introduction to Azure’s Machine Learning Framework - PyData Singapore
51:35Search Singularity - PyData Singapore
48:09Exploring Singapore's Open Data APIs - PyData Singapore
1:07:22Deep Learning with Python & TensorFlow - PyData Singapore
1:25:01Extracting Names using RNNs - PyData Singapore
42:13Improving PySpark Performance: Spark performance beyond the JVM - PyDataSG
28:26Using PySpark and MlLib - PyDataSG
51:00Stream-1st Architecture, Apache Flink & Other Emerging Technologies - PyDataSG
42:31PySpark case - using Random Forest for binary classification problem - PyDataSG
25:50Incremental Data Processing with Apache Spark on Azure HDInsight - PyDataSG
31:07Data.gov.sg - PyData Singapore
1:10:39Causal Analytics - PyData Singapore