DORSETRIGS
Home

categorical-data (6 post)


posts by category not found!

How to specify a variable in pandas as ordinal/categorical?

Unlocking the Power of Ordinal and Categorical Data in Pandas Pandas the go to library for data manipulation in Python provides robust tools for handling differ

2 min read 07-10-2024 30
How to specify a variable in pandas as ordinal/categorical?
How to specify a variable in pandas as ordinal/categorical?

I want to convert the categorical variable to numerical in Python

Transforming Categorical Variables into Numerical Data in Python The Problem Categorical variables representing groups or categories cant be directly used in ma

2 min read 06-10-2024 52
I want to convert the categorical variable to numerical in Python
I want to convert the categorical variable to numerical in Python

Finding probabilities of each value in all categorical columns across a dataframe

Finding Probabilities of Each Value in Categorical Columns Across a Data Frame In data analysis particularly when working with categorical data it s essential t

3 min read 22-09-2024 57
Finding probabilities of each value in all categorical columns across a dataframe
Finding probabilities of each value in all categorical columns across a dataframe

Why concatenation can't handle Nones in categorical columns when the DF can hold it in the first place

Why Concatenation Throws a Warning with Categorical Columns and Missing Values When working with pandas Data Frames you might encounter a Future Warning message

2 min read 31-08-2024 45
Why concatenation can't handle Nones in categorical columns when the DF can hold it in the first place
Why concatenation can't handle Nones in categorical columns when the DF can hold it in the first place

Interpretation of ordered and non-ordered factors, vs. numerical predictors in model summary

Understanding Factor Levels and their Impact on Model Interpretation This article will delve into the interpretation of ordered and non ordered factors in a sta

3 min read 29-08-2024 58
Interpretation of ordered and non-ordered factors, vs. numerical predictors in model summary
Interpretation of ordered and non-ordered factors, vs. numerical predictors in model summary

Why the contribution of a categorical value in SHAP trained on Catboost differs from observation to observation

Understanding Variable Contributions in SHAP for Categorical Features with Cat Boost When working with categorical features and SHAP values you might observe th

2 min read 28-08-2024 57
Why the contribution of a categorical value in SHAP trained on Catboost differs from observation to observation
Why the contribution of a categorical value in SHAP trained on Catboost differs from observation to observation