Linear Regression and scaling of data - Data Science Stack Exchange
Apr 14, 2018 · 11 The following plot shows coefficients obtained with linear regression (with mpg as the target variable and all others as predictors). For mtcars dataset (here and here) both …
feature scaling - How do standardization and normalization …
Aug 21, 2020 · One benefit of creating a linear model is that you can look at the coefficients the model learns and interpret them. For example, you can see which features have the most …
Feature scaling in Linear Regression - Data Science Stack Exchange
Oct 4, 2022 · According to my understanding, we need feature scaling in linear regression when we use Stochastic gradient descent as a solver algorithm, as feature scaling will help in finding …
python - When and how to use StandardScaler with target data …
Jul 5, 2021 · The correct way of scaling both the features and the target in Python with Scikit-Learn for a regression problem would be wit pipelines as follow: from sklearn.linear_model …
Predict actual result after model trained with MinMaxScaler ...
Oct 1, 2022 · The only case where this makes sense is if you want to scale the result for other reasons, for example because to make comparisons between different datasets. Evaluation is …
When should I NOT scale features - Data Science Stack Exchange
Dec 5, 2019 · There are many discussions out there about when one should scale their features, and why they should do it. Apart from interpretability (which is not a problem as long as the …
linear regression - Possible harm in standardizing one-hot …
Aug 13, 2020 · The coefficients will just scale to counteract the new scale of the variables, and the intercept will shift to compensate for the centering. With penalized linear models though, there …
machine learning - Linear Regression with Category variables
Apr 10, 2021 · 1 I'm currently learning and exploring machine learning and understand the basics of linear regression based on two numerical variables, but now I wish to go a little further and …
python - SVM using scikit learn runs endlessly and never …
Aug 19, 2014 · The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to dataset with more than a couple of 10000 samples. If you do not …
How to predict a discrete dependent variable on a continuous …
Dec 29, 2021 · However, the data for the cream doses are of the values 0, 0.25, 0.5, 0.75, and 1 (on some scale, e.g., 50 milliliters). I am trying to build a regression model using these discrete …