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Which encoding technique to use depends on your data/features. Ordinal encoding is used when there ia a sense of order in your feature. For example you have a feature performance which has values worst, bad good. Here you should use ordinal encoder which will result in worst = 0, bad = 1 and good = 2. We used ordinal encoding because good is better than bad ...
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What you describe is ordinal encoding. If there is an inherent order to your data (such as age), you can definitely try it. And yes, one-hot encoding does increase dimensionality and sparsity of the data. But these two are not the only ways to handle categorical data. Here is a list of different encoders, and a paper where some of these techniques are ...
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You are correct - one hot encoding, by definition, increases your dimensions and (most likely) also the sparsity.
Your numerical mapping can be rather misleading since e.g a random forest would interpret adult>child which, in the case of age, makes sense. But say the mapping was {1:"dog",2:"cat",3:"horse"}and not the age of ...
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Roughly all three concepts are related.
Drift means the relationship between input and output is dynamic and changes (stochastically) over (sufficiently long periods of) time. That is, it is not stationary. For example, consumers' criteria about what to buy, change over time, for example as people become more eco-conscious. More importantly drift, when it ...
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In linear regression models (aka OLS), you can interpret the estimated coefficient(s) as the percentage change in case $y$ and $x$ are log-transformed using the natural log (see this post "Both dependent/response variable and independent/predictor variable(s) are log-transformed" or see also this post).
For a model like:
$$ log_e(y) = \beta_0 + \...
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The definitions are given on slide 33. For example, for recall of each cluster you need to find
niki
which you can infer from the definition above:
Assign to cluster i the class ki such that ki = argmaxjnij
which simply says for each cluster, the index of the highest n is defined as ki. For the case of cluster 1 on the left, it is cluster 3, so the ...
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At some time, I'll also require the assistance of programmers. He initially approached a private individual, but he worked on the project for a long time with no results. I needed to go a step further and work with a single global company https://www.avenga.com/industries/pharma-life-sciences/. The guys worked quickly and efficiently to complete the job! The ...
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