Classification Modeling in R for Profitable Decisions Workshop | r-bloggers

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[This article was first published on R-posts.com, and kindly contributed to R-bloggers], (You can report a problem about the content on this page here) Want to share your content on R-Blogger? Click here if you have a blog, or click here if you don’t. Learn classification modeling to improve decision making for your business or use these skills for your research in our 2-part workshop! These workshops are a part of our Workshops for Ukraine series, and all proceeds from these workshops go to support Ukraine. You can find out more about the other workshops, as well as purchase recordings of past workshops here.

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In the first part of a workshop titled Classification Modeling for Profitable Decisions, which will take place online on Thursday, October 20th, 18:00 – 20:00 CET, we’ll cover the theoretical framework you need to know to conduct classification analysis and Cover key concepts.

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The second part of the workshop, which will take place on Thursday, October 27th, 18:00 – 20:00 CET, will include practical exercises in R, so you can learn how to apply the concepts covered in the first part in R. ,

You can register for each part separately, so you can choose whether you want to participate in both parts or only part 1 or part 2. Below you can find out more about each part and how to register for it:

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part 1

Title: Classification Modeling for Profitable Decisions: Theory and a Case Study on Firm Defaults.

Date: Thursday, October 20, 18:00 – 20:00 CET (Rome, Berlin, Paris time zone)

Chair: Gabor Bex is an assistant professor in the Department of Economics and Business of the Central European University, a research fellow at KRTK in Hungary and a research associate at CEPR. His research focuses on international economics; Economic Geography and Applied IO, and Global Strategy Journal, was published by Journal of International Economics, Regional Science and Urban Economics or Economic Policy among others and has written commentary on VOXEU.org. His comprehensive textbook, Data Analysis for Business, Economics, and Policy with Gabor Kezdi, was published by Cambridge University Press in 2021.

Description: This workshop will introduce the framework and methods of probability prediction and classification analysis for binary target variables. We will discuss key concepts such as probability prediction, classification threshold, loss function, classification, confusion table, expected loss, ROC curve, AUC and much more. We will use the logit model as well as the random forest to estimate and classify the probabilities. In the workshop we will focus on case studies on firm defaults using datasets on financial and management characteristics of firms. The workshop material is based on a chapter and case study from my textbook. Codes in R and Python are available from the Github repo, and the data is also available. The workshop will introduce key concepts, but will focus on data wrangling and modeling decisions we make for a real-life problem. There will be a follow-up workshop focusing on the coding side of the case study.

Minimum registration fee: 20 EUR (or 20 USD or 750 UAH)

Recommended registration fee for professionals: 50 euros (if you can afford it, our suggested registration fee for this workshop is 50 euros. If you can’t afford it, you can still donate 20 euros) can register).

Remember that you can register even if you will not be able to attend in person as all registered participants will get a recording.

How can I register?

Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least EUR 20. Feel free to donate more if you can, all proceeds go to support Ukraine! Save your donation receipt (Once the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent) Fill the registration form, attach a screenshot of the donation receipt (Please attach a screenshot of the donation receipt) which was emailed to you instead of the page you see after the donation).

If you are not interested in participating in person, you can also contribute by sponsoring a student participation, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organizations operating in Ukraine. You can either sponsor a particular student or you can leave it to us so that we can allocate sponsored places to students who have signed up for the waiting list.

How can I sponsor a student?

Visit https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 EUR (or 17 GBP or 23 USD or 660 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine! Save your donation receipt (Once the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent) Fill out the sponsorship form, attaching a screenshot of the donation receipt (please attach a screenshot of it) Donation a receipt that was emailed to you instead of the page you visit after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this space ourselves to students from the waiting list. You can also indicate whether you would like us to give priority to students from developing countries when specifying the location(s) you sponsor.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

part 2

Title: Classification Modeling for Profitable Decisions: R . hands on practice

Date: Thursday, October 27, 18:00 – 20:00 CET (Rome, Berlin, Paris time zone)

Chair: Goston Reguly is a postdoctoral fellow in the Financial Services and Innovation Lab of the Georgia Institute of Technology’s Sklar College of Business. His research is focused on causal machine learning methods and their application in corporate finance. He did his Ph.D. degree from Central European University (CEU), where he has taught several courses such as data analysis, coding and mathematics. Prior to CEU he worked at the Hungarian Government Debt Management Agency for more than three years.

Description: This workshop will apply the methods of probability prediction and classification analysis to binary target variables. This workshop is a follow-up to Gabor Beck’s workshop on key concepts and (theoretical) methods for the same topic. We will use R through RStudio to implement probability prediction, classification threshold, loss function, classification, confusion table, expected loss, ROC curve, AUC, and more. We will use linear probability models, logit models as well as random forests to estimate and classify probabilities. In the workshop, we follow a case study on firm defaults using a dataset on the financial and management characteristics of firms. Workshop material is based on a chapter and case study from the textbook Gabor Beckes and Gabor Kezdi (2021): Data Analysis for Business, Economics and Policy, Cambridge University Press. The workshop will not only apply key concepts, but will focus on the data wrangling and modeling decisions we make to a real-life problem. Minimum registration fee: 20 EUR (or 20 USD or 750 uH) Recommended registration fee for professionals: 50 EUR (if you can afford it, our suggested registration fee for this workshop is 50 EUR. If you can afford it) If you can’t, you can still register. By donating 20 euros).

How can I register?

Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least EUR 20. Feel free to donate more if you can, all proceeds go to support Ukraine! Save your donation receipt (Once the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent) Fill the registration form, attach a screenshot of the donation receipt (Please attach a screenshot of the donation receipt) which was emailed to you instead of the page you see after the donation).

How can I sponsor a student? Visit https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 EUR (or 17 GBP or 23 USD or 660 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine! Save your donation receipt (Once the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent) Fill out the sponsorship form, attaching a screenshot of the donation receipt (please attach a screenshot of it) Donation a receipt that was emailed to you instead of the page you visit after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this space ourselves to students from the waiting list. You can also indicate whether you would like us to give priority to students from developing countries when specifying the location(s) you sponsor.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

Looking forward to meeting you during the workshop!

Classification Modeling in R for Profitable Decisions Workshop was first posted on Oct 13, 2022 at 3:28 PM.

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