Workshop Part 4 | Intro to Apache Spark

Join us for a four part learning series: Introduction to Data Analysis for Aspiring Data Scientists. This is the fourth of four online workshops for anyone and everyone interested in learning about data analysis. No previous programming experience required but basic Python experience is recommended.

Part 4: Introduction to Apache Spark

Abstract: scikit-learn is one of the most popular open-source machine learning libraries among data science practitioners. This workshop will walk through what machine learning is, the different types of machine learning, and how to build a simple machine learning model. This workshop focuses on the techniques of applying and evaluating machine learning methods, rather than the statistical concepts behind them. We will be using data released by the New York Times (https://github.com/nytimes/covid-19-data). Prior basic Python and pandas experience is required.

- Watch Part1, Intro to Python: https://youtu.be/HBVQAlv8MRQ ( to learn about python)
- Watch Part 2, Data Analysis with pandas: https://youtu.be/riSgfbq3jpY
- Watch Part 3, Machine Learning: https://youtu.be/g103iO-izoI

- To join the conversation for this tech talk, visit the meetup event page: https://www.meetup.com/data-ai-online/events/270166620/
- Access the Notebook: https://github.com/databricks/tech-talks Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner