Name: Using Python with a Massively Parallel Database to Predict COVID-19 Numbers
Start: 2020-07-07T14:00:00-04:00
End: 2020-07-07T15:00:00-04:00

Register here: https://bit.ly/3e483H5

Python is a powerful programming language that is a good choice for many types of analytics. It is rapidly becoming the language of choice for scientists and researchers of many types. Now by combining a massively parallel (MPP) database like Vertica with Python, you can overcome many scale and analytics challenges that can limit Python users.

Join this session to see a live demo of Vertica’s built-in integration with Python to measure and predict key numbers of the COVID-19 pandemic by using historical data on the number of cases and fatalities per state to predict the results for the following day.

Register here: https://bit.ly/3e483H5

Data Science Salon | South Florida

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Open Source

Business Intelligence

Cloud Computing

Big Data

Machine Learning

Data Mining

Data Analytics

Data Science

Apache Spark

Data Visualization

Predictive Analytics

Data Management

Artificial Intelligence

Natural Language Processing

Using Python with a Massively Parallel Database to Predict COVID-19 Numbers

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Using Python with a Massively Parallel Database to Predict COVID-19 Numbers

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