MLToolkit

MLToolkit (mltk) is a Python package providing a set of user-friendly functions to help building machine learning models in data science research, teaching or production focused projects.

Introduction

MLToolkit supports all stages of the machine learning application development process.

Installation

pip install pymltoolkit

If the installation failed with dependancy issues simply execute the above comman with --no-dependencies

pip install pymltoolkit --no-dependencies

Functions

• Data Extraction (SQL, Flatfiles, etc.)
• Exploratory Data Analysis (statistical summary, univariate analysis, etc.)
• Feature Engineering
• Model Building
• Hyper Parameter Tuning [in development]
• Model Performance Analysis and Comparison Between Models
• Auto ML (automated machine learning) [in development]
• Model Deploymet and Serving [in development]

Machibe Learning Algorithms/Packages used

• RandomForestClassifier -- scikit-learn
• LogisticRegression -- statsmodels ... more will be added in future development ...

Usage

import mltk

Examples

References

• https://pandas.pydata.org/
• https://scikit-learn.org
• https://www.numpy.org/
• https://docs.python.org/3.6/library/re.html
• https://www.statsmodels.org
• https://matplotlib.org/
• http://flask.pocoo.org/