MachLearnEase is a Python package that simplifies machine learning tasks by providing easy-to-use tools and utilities.
You can install MLEase using pip:
pip install MLEaseYou can install from source using the following commands
git clone https://github.com/harikrishnad1997/MLEase.git && cd MLEase
pip install .MLEase provides a variety of tools to streamline your machine learning workflow. Here's an example of how to use the MissingValueImputer and OutlierRemoverScaler classes:
from mlease import MissingValueImputer, OutlierRemoverScaler
import pandas as pd
# Example usage of MissingValueImputer
imputer = MissingValueImputer(imputation_method='mean')
data = {'A': [1, 2, None, 4], 'B': [5, None, 7, 8]}
df = pd.DataFrame(data)
imputed_df = imputer.fit_transform(df)
# Example usage of OutlierRemoverScaler
scaler = OutlierRemoverScaler()
transformed_data = scaler.fit_transform(data)
#Example of Bucketizer
bucketizer = Bucketizer(num_classes=3, use_qcut=True, automatic_num_classes=True)
transformed_data = bucketizer.fit_transform(data)This project is licensed under the MIT License - see the LICENSE file for details.