This package can process data and evaluate machine learning models.
It provides several classes that can perform several types of data processing.
Currently, the classes can:
- Normalize a data set to fit within a given value range
- Standardize data (mean or standard)
- Handle missing values
- Encode categorical data
- Get a summary of data with descriptive statistics
- Calculate a correlation matrix
- Identify outliers in data
- Evaluate machine learning models accuracy, precision score, calculate the recall score,
- Generate a confusion matrix
- Calculate the mean squared error for regression
- Calculate the mean absolute error for regression |
