Federica Gazzelloni
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This is my blog section about Statistical techiniques.
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(7)
artificial-neural-networks
(1)
bayesian
(1)
geom_smooth
(1)
linear regression
(1)
machine-learning
(1)
modeling
(5)
rstats
(4)
text-analysis
(1)
Understanding Plain Vanilla - from Scratch
rstats
modeling
machine-learning
artificial-neural-networks
In the world of artificial intelligence, understanding the fundamentals of neural networks is essential. One of the simplest yet powerful architectures is the
Artificial…
Jun 28, 2024
R-Ladies Events Stats
text-analysis
Let’s scrap the R-Ladies chapters events from Meetup.com We can use the
{meetupr}
package.
Mar 12, 2024
How does geom_smooth() make predictions
rstats
modeling
linear regression
geom_smooth
Linear regression
is a statistical technique used to represent the linear relationship between a response
\((y)\)
and a predictor
\((x)\)
.
Feb 26, 2024
Understanding Simpson’s Paradox: A Simple Explanation
rstats
modeling
Simpson's Paradox
is a statistical phenomenon where a trend appears in different groups of data but disappears or reverses when these groups are combined. This paradox…
Jan 12, 2024
Bayesian Statistics model comparison
rstats
modeling
bayesian
In this post I’ll go through some differences between
Bayesian statistical packages
in R. Bayesian statistics involves probabilities. This means that the probability of an…
Mar 22, 2023
Predictive modeling
modeling
This post is dedicated to make a comparison between
Caret
and
TidyModels
R packages. Data modeling with R pass through data preprocessing and parameters assessments to…
Jun 5, 2022
Multiple Hypothesis Testing
Multiple testing
, what does it means?
May 20, 2022
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