Subscribe to DSC Newsletter
Frank Raulf
  • Male
  • Frankfurt
  • Germany
Share on Facebook
Share

Gifts Received

Gift

Frank Raulf has not received any gifts yet

Give a Gift

 

Frank Raulf's Page

Latest Activity

Frank Raulf liked Shreya Gupta's blog post Importing Data in R
Feb 7
Frank Raulf updated their profile
Jan 27
Frank Raulf's blog post was featured

How to make time-data cyclical for prediction?

There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not possible because time can not be arranged in a sequence. For example, if there are just weekdays (1 to 7) in a dataset over several month. In this case one could use one-hot-encoding. However, considering minutes or seconds of a day one-hot-encoding might lead to high complexity. Another approach is to make time cyclical. This approach leads to a lower…See More
Jan 26
Deborah Hurley commented on Frank Raulf's blog post Which one is faster in multiprocessing, R or Python?
"Great information and thank you for doing this work!"
Jan 23
Deborah Hurley commented on Frank Raulf's blog post Loop-Runtime Comparison R, RCPP, Python
"Excellent information and thank you for doing this work!  As always, the information posted from DSC is excellent and useful avoiding the hype which can be distracting."
Jan 23
Deborah Hurley liked Frank Raulf's blog post Loop-Runtime Comparison R, RCPP, Python
Jan 23
Frank Raulf liked Capri Granville's blog post What are the Typical Data Scientist Profiles on LinkedIn? Survey Results
Jan 8
Frank Raulf liked Vincent Granville's blog post Weekly Digest, January 6
Jan 6
Frank Raulf posted blog posts
Jan 6
Frank Raulf's 2 blog posts were featured
Jan 5
Frank Raulf liked Vincent Granville's blog post Invitation to Join Data Science Central
Jan 4
Frank Raulf shared their blog post on Twitter
Dec 22, 2019
Lito P. Cruz commented on Frank Raulf's blog post Which one is faster in multiprocessing, R or Python?
"Good job. Thanks for the research."
Dec 21, 2019
Lito P. Cruz liked Frank Raulf's blog post Which one is faster in multiprocessing, R or Python?
Dec 21, 2019
Tim Matteson liked Frank Raulf's blog post Which one is faster in multiprocessing, R or Python?
Dec 20, 2019
Frank Raulf posted blog posts
Dec 20, 2019

Profile Information

Short Bio
Favourite languages: R, Python.
Favourite topics: Simulation, regression methods, API, web-scraping.
Field of Expertise
Data Science, Machine Learning, AI, Business Analytics, Deep Learning
Professional Status
Technical
Years of Experience:
7
Your Company:
Andersch digital
Industry:
Consulting
Your Job Title:
Senior Data Scientist
How did you find out about DataScienceCentral?
LinkedIn
Interests:
Contributing, Networking, New venture

Frank Raulf's Blog

How to make time-data cyclical for prediction?

Posted on January 26, 2020 at 4:00am 0 Comments

There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not possible because time can not be arranged in a sequence. For example, if there are just weekdays (1 to 7) in a dataset over several month. In this case one could use one-hot-encoding. However, considering minutes or seconds of a day one-hot-encoding might lead to high complexity. Another approach is to make time cyclical. This approach leads to a…

Continue

Setting the Cutoff Criterion for Probabilistic Models

Posted on January 4, 2020 at 3:00am 0 Comments

For decision making, human perception tends to arrange probabilities into above 50% and below - which is plausible. For most probabilistic models in contrast, this is not the case at all. Frequently, resulting probabilities are neither normal distributed between zero and one with a mean of 0.5 nor correct in terms of absolute values. This is not seldom an issue accompanied with the existence of a minority class - in the underlying dataset.

For example, if the result of a…

Continue

Naive Bayes Classifier using Kernel Density Estimation (with example)

Posted on January 3, 2020 at 4:30am 0 Comments

Bayesian inference is the re-allocation of credibilities over possibilities [Krutschke 2015]. This means that a bayesian statistician has an “a priori” opinion regarding the probabilities of an event:

p(d)   (1)

By observing new data x, the statistician will adjust his opinions to get the "a posteriori" probabilities.

p(d|x)   (2)

The conditional probability of an event d given x is the share of  the joint…

Continue

Which one is faster in multiprocessing, R or Python?

Posted on December 19, 2019 at 9:00am 2 Comments

This post is the third one of a series regarding loops in R an Python.

The first one was Different kinds of loops in R. The recommendation…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service