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Old 05-30-2018, 09:09 AM
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Alan.Actex Alan.Actex is offline
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Join Date: Nov 2016
Location: Holyoke, Massachusetts
College: UMass Amherst
Favorite beer: Paper City Dam Ale
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Lightbulb ACTEX Presents: "Statistical Modeling in Python for Actuaries" 6/21 @ 1:00 PM EST

ACTEX Learning Presents an ACTEX eLearning Webinar:


"Statistical Modeling in Python for Actuaries"

June 21, 2018 from 1:00 to 2:30 PM Eastern Time

Co-Sponsored by the Canadian Institute of Actuaries
1.8 SOA/EA CPD, CAS CE Credits/Training Hours
This is a potential source of 1.5 hours of CPD for the Canadian Institute of Actuaries.

Enroll Today! Click HERE

Andrew Webster is featured in a new ACTEX Blog post: "Why Actuaries Should Start Paying Attention to Python by Andrew Webster" Please Click HERE to read it!

According to a 2017 KDnuggets* poll, Python has overtaken R as the leading programming language for data science and machine learning. In addition, Python is a general-purpose programming language demonstrating advanced capabilities separate from analytics and data science, such as application programming interface (API) and website development.

This webinar continues the “Python for Actuaries” education series by covering the statistical modeling capabilities of Python. Focus is placed on models commonly encountered in actuarial practice. All examples are performed within the context of analyzing healthcare claims data files common to actuarial work.

See the first webinar in this series: Click HERE

See the second webinar in this series: Click HERE

* “Python overtakes R, becomes the leader in Data Science, Machine Learning platforms" – KDnuggets 2017 Software Poll Results

Learning Objectives:
  • Introduce the NumPy, SciPy, matplotlib and scikit-learn packages along with their roles in the Python ecosystem
  • Pre-processing data using scikit-learn including handling missing data, converting categorical variables to indicator variables and other transforms
  • Performing principal component analysis using scikit-learn to select diagnoses and procedures that are leading to the most modifiable cost variation. Reducing high-dimensional member features to a manageable feature set for regression.
  • Building a regression model using scikit-learn to create a healthcare utilization model based on member demographic, diagnosis and sociodemographic characteristics. Methods include multivariate linear regression and random forest.
  • Building a classification model to classify members into low-risk/high-risk patients. Methods including logistic regression, linear discriminant analysis and support vector machines will be covered.
  • Learn goodness-of-fit tests in scikit-learn including R-squared, AIC and BIC.

Who Should Attend This Webinar?
  • Actuaries who attended the first Python for Actuaries: Introduction to Data Analysis and second Python for Actuaries: Advanced Data Analysis Techniques or have comparable basic Python programming skills
  • Actuaries wanting to use Python to perform statistical modeling
  • Actuaries interested in employment with technology-focused jobs such as InsurTech
  • Actuaries wanting to find modeling applications of Python to use in daily actuarial practice

Presenter: Andrew M. Webster, M.S., ASA, MAAA

Please take a moment to read Andrew's story in the ACTEX Blog: "How Python Saved My Company"

Founder, actuary and licensed broker at Validate Health, a member company of the HealthTech incubator MATTER in Chicago, IL. Validate Health provides cloud-based actuarial analytics and reinsurance procurement services to Accountable Care Organizations.

Andrew is also webmaster and predictive analytics track lead at the Chicago Actuarial Association, mentor for the Society of Actuaries non-traditional internship program and co-organizer of the Chicago InsurTech Meetup.

Andrew has been writing Python code since 2008 when he was employed as a software programmer at a leading Electronic Medical Records software company. He has used Python to scrape websites for data, automate data migrations, perform data analytics, fit statistical models and write website applications. His company, Validate Health, was named one of twelve Python-based companies selected for the 2016 PyCon Startup Row. Andrew believes that Python will be a valuable skill for Actuaries to master for future employment in emerging InsurTech jobs.

Enroll Today! Click HERE
__________________
Alan C. Elman | eLearning Lead
ACTEX Learning | Mad River Books
(860) 379-5470 Ext. 4007

Click to view our Actuarial eLearning Offerings:
Webinars | Exam Prep | VEE Courses

Last edited by Alan.Actex; 06-13-2018 at 12:06 PM..
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Old 06-13-2018, 11:46 AM
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Alan.Actex Alan.Actex is offline
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Join Date: Nov 2016
Location: Holyoke, Massachusetts
College: UMass Amherst
Favorite beer: Paper City Dam Ale
Posts: 149
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Andrew Webster is featured in a new ACTEX Blog post: "Why Actuaries Should Start Paying Attention to Python by Andrew Webster" Please Click HERE to read it!

It's a very interesting read, and lead-up to our upcoming Webinar "Statistical Modeling in Python" Please Click HERE to check it out!

Do you have questions? Please contact me, I'm happy to be of service!
__________________
Alan C. Elman | eLearning Lead
ACTEX Learning | Mad River Books
(860) 379-5470 Ext. 4007

Click to view our Actuarial eLearning Offerings:
Webinars | Exam Prep | VEE Courses
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