In the context of the train_test_split function in machine learning, the stratify parameter is used to ensure that the splitting process preserves the proportion of classes in the target variable. When you set stratify=y, where y is your target variable, the data is split in a way that maintains the distribution of classes in both…
The provided code below generates a grid of subplots (dynamic rows and 2 columns) and plots cumulative distribution function (CDF) plots for numerical variables in a DataFrame (df).
To grab random sample from a dataset in Python, you can use the pandas library. Assuming your dataset is stored in a pandas DataFrame, you can use the sample method to randomly select rows. Here’s an example: In this example, n=5 specifies the number of rows to sample, and random_state is set to ensure reproducibility.
nivariate exploration refers to the analysis of a single variable in isolation. In data analysis, univariate exploration involves examining the distribution, central tendency, and variability of a single variable without considering its relationship with other variables. Common techniques used in univariate exploration include: Univariate exploration is often the first step in data analysis, providing insights…
