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statistical modeling

Tutorials (25)

r programming
+1

Regularization: Ridge, Lasso and Elastic Net

In this tutorial, you will get acquainted with the bias-variance trade-off problem in linear regression and how it can be solved with regularization.
Michał Oleszak
November 12th, 2019
r programming
+1
64
64
python
+4

Demystifying Mathematical Concepts for Deep Learning

Explore basic math concepts for data science and deep learning such as scalar and vector, determinant, singular value decomposition, and more.
Avinash Navlani
June 17th, 2019
python
+4
20
20

Cheat Sheets (0)

There are currently no cheat sheets in statistical modeling, you can submit or recommend a new one.

Open Courses (5)

November 9th, 2017

Beginning Bayes in R

statistical modeling
+2
Discover Bayesian statistics with R: represent your beliefs with the language of probability, collect some data and update your beliefs based on the evidence contained in the data.
271
271
October 5th, 2016

Introduction to Probability and Data - Labs

statistical modeling
+1
This interactive DataCamp course complements the Coursera course Introduction to Probability and Data by Mine Çetinkaya-Rundel.
68
68

Podcast (18)

Episode 58

Critical Thinking in Data Science (with Debbie Berebichez)

March 25th, 2019
podcast
+6

Blog Posts (32)

dataframed
+5

Critical Thinking in Data Science

Debbie Berebichez speaks with Hugo about what type of critical thinking skills are necessary in data science.
Ryan Sheehy
March 25th, 2019
9
9

Tech Thoughts (0)

There are currently no tech thought posts in statistical modeling.

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