Going through the code of a Machine Learning project to predict real estate prices based on user-provided features using a Streamlit interface, leveraging Google Cloud services for data storage, model training, and deployment.
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Hey there! Ever thought about putting together a machine learning project, from scratch, using Python and Google Cloud (BigQuery, Cloud Storage, and Vertex AI)? š¤
Want to know how to get your data ready, create a spot-on model, and roll it out smoothly for everyone to use?
Well, if youāre nodding your head, weāve got just the event for you! š
Hereās what weāll dive into together:
ā Data Analysis and Preprocessing: Learn the tricks to clean up your data and get it primed for training.
ā Building a Predictive Model: Get the hang of creating a model that you can really trust.
ā Model Serialization: See how to save your trained model so itās super easy to reuse.
ā
Creating a Simple Interface with Streamlit: Use Python to whip up a slick, user-friendly app for making real-time predictions.
š Location: Odigeo Tech Hub, 20 Via Giovanni Battista Pirelli, Milano, 20124
š When: Itās all happening on March 13 at 6:30 PM
Whether youāre dipping your toes into machine learning or looking to sharpen your skills, this event is gonna give you a hands-on experience to put together a complete project, all in Python. Plus, itās going to be loads of fun!
Thursday, March 13, 2025
5:30 PM ā 7:30 PM (UTC)
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Tech Talk with Leticia Pires |
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Data Scientist, Google Certified ML Engineer, WTM Ambassador
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