0 Beginners Data Science for Python Developers (3 hour)
mebaumb редактировал(а) эту страницу 2021-05-07 11:34:30 -07:00

Event Information

Category Details
Workshop Active? No, too long for virtual events
Reactor Topic Data Science and Machine Learning
Location In person
Workshop Level Beginner
Workshop Duration 3 hours
Title Beginners Data Science for Python Developers
Description Every day new data is created. New parts are made and shipped from factories, people continuously tweet, and companies grow and fluctuate causing major changes in the market. With the addition of more data comes the difficulty of being able to process that data. As humans, we can understand complex scenarios, but computers are much better at being able to analyze large datasets. In this workshop, you will get a glimpse into how we can teach machines to analyze complex scenarios at a much larger scale than we're able to. After you've cleaned and organized your data, you will have an opportunity to train and test machine learning models, and even publish your predictor online for others to explore. You do not need any prior experience with data science to attend this workshop. You are likely someone who has ~1 year experience coding, preferrably in Python, but not a requirement. You are interested in learning how to use Python libraries to call machine learning models and make predictions on your data. You should bring your own laptop (Windows or Mac) with an Internet browser. You will be using Azure Notebooks, a cloud-based Jupyter Notebooks instance, and Azure Machine Learning Studio. All you will need is a Microsoft Account, which only requires an email address and for which you can sign up for at the event.
Content Link Unknown

Event Dates Run:

Here's an overview of what this workshop will cover and suggested agenda to follow with links and resources.

Workshop Agenda

15 minutes Introduction to Data Science

60 minutes Cleaning and Manipulating Data

60 minutes Introduction to Machine Learning Models

60 minutes Machine Learning Studio

15 minutes Wrap Up

Resources

  • TBD