Rsclassifier

- Better example for `booleanize_numerical_features`.

Bugfix
- Fixed an issue with `booleanize_numerical_features`.

Added
- **New Booleanization functions**: `booleanize_categorical_features` and `booleanize_numerical_features`. The first one converts categorical features into Boolean features using one-hot encoding style. The second one discretizes numerical features using entropy-based pivot points and converts them into Boolean features.

Added
- **Brute force option for feature selection**: The `fit` function of `rsclassifier` has a new argument `fs_algorithm`, which can be used to change the algorithm used for selecting the features used by `rsclassifier`. The default option is `dt`, which uses decision trees for feature selection, while the second option is `brute` which finds the set of features for which the error on training data is minimized.

- Fixed the downloads badge on README.

Added
- **Entropy-Based Discretization Module**: A new module named `discretization` has been introduced. It currently includes the `find_pivots` function, which supports entropy-based supervised discretization.

Changes
- **Improved `find_pivots` Performance**: Enhancements have been made to the `find_pivots` function to improve its execution efficiency.