mltoolkit-laht 0.1.4

A data science and machine learning toolkit

mltoolkit-laht 0.1.4

This is a Python library for data science and machine learning tasks. It provides utilities for data processing, modeling, and visualization.

Installation

To install this package, clone the repository and run the setup script:

git clone https://github.com/lehidalgo/mltoolkit-laht
cd mltoolkit-laht
pip install .

Usage

Here is a basic example of how to use this toolkit:

import pandas as pd
from mltoolkit_laht import data_processing as dp
from mltoolkit_laht.datasets import load_banking_reviews_data

# ============================== Load Data ==============================
data_reader = dp.DataSource(data=load_banking_reviews_data())

# ============================== Data Preprocessing ==============================
BankReviews = data_reader.load_data()
BankReviews["Date"] = pd.to_datetime(BankReviews["Date"], format="%d-%m-%Y")
BankReviews["Year"] = BankReviews["Date"].dt.year
BankReviews["text_length"] = BankReviews.Reviews.apply(lambda x: len(x))

# ============================== Data Exploration ==============================
data_reader.show_df_info(num_rows=100)

Full example in Tutorials directory.

Testing

To run the tests, use the following command:

python -m unittest discover tests

Dependencies

This package requires the following Python libraries, which are listed in the requirements.txt file:

• numpy
• pandas
• scikit-learn
• matplotlib

Please make sure to install these dependencies before using this toolkit.

Contributing

Contributions are welcome! Please submit a pull request or create an issue to propose changes or additions.