This is the Sched for the IoTFuse Workshop Series Only. To view the seminar schedule for the Conference Day (April 25th), click here: https://iotfuseconference2019.sched.com/
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Tuesday, April 23 • 3:30pm - 5:30pm
Predictive Analytics & IoT Solutions with Microsoft Azure Notebooks LIMITED

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Limited Capacity seats available

How This Fits Into IoT 
Using machine learning helps users develop a deeper understanding of their IoT data.

What Attendees Do 
Participate in a series of hands-on lab activities guiding them through a series of machine learning tasks common for IoT scenarios.  This particular scenario will focus on predictive maintenance.

Learning Objectives 
Prepare data for machine learning operations; apply feature engineering as part of the analysis process, choose the appropriate machine learning algorithm for the appropriate business scenario; train, evaluate and apply regression models; evaluate the effectiveness of regression models

What Attendees Bring 

Attendee Preparation Work (Downloads, Reading) 
Complete the Pre-class set-up

Knowledge Required 
Basic understanding of data and python notebooks

Pre-class Set-up 
In a browser, and if you do not already have a free Azure Notebooks account, go to https://notebooks.azure.com and sign up for one using your Microsoft account.
If you do not already have a Microsoft account, go to https://signup.live.com and create one.
Navigate to https://notebooks.azure.com/JonJordanBI/projects/predictiveanalyticsforiot and clone Predictive Analytics for IoT Solutions.  Ensure the following are now located in your environment:
02a-Explore IoT Data with Python.ipynb
02b-Clean and Standardize Data.ipynb
02c-Advanced Data Exploration Techniques.ipynb
03a-Feature Engineering.ipynb
03b- Feature Selection.ipynb
04a- Train Predictive Model.ipynb
03b- Analyze Model Performance.ipynb
Output folder
Source Data folder

What Attendees Receive 
Basic understanding of steps required to evaluate IoT data and apply machine learning regression models. Students will take with them a series of Jupyter notebooks that can be used as a starting point in the future to apply analytics to their own IoT data.

avatar for Cole McDonald

Cole McDonald

Sr. Technical Analyst, Beyond Impact 2.0, LLC
Owner and operator for one of the first few web dev firms in MN. I used script assisted standardization, early applied fuzzy logic, and what is now called DevOps; all before Y2K. I was most recently given the opportunity to shift back toward DevOps from the Server Admin / Client Support... Read More →

Tuesday April 23, 2019 3:30pm - 5:30pm CDT
UST Room #419 46 S 11TH ST Minneapolis, MN 55403