Metadata-Version: 2.1
Name: mb-scripts
Version: 0.0.7
Summary: Machine Learning scripts that will quicken the modelling and data analysis process
Home-page: UNKNOWN
Author: Sathya Krishnan Suresh
Author-email: <satyakrishnan.s@pec.edu>
License: UNKNOWN
Keywords: python,mb_scripts,machine learning,data science,data analysis
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tensorflow

# mb-scripts
Creator : Sathya Krishnan Suresh<br>
## DESCRIPTION
This is a python package to quicken the modelling and data analysis process.<br><br>
PyPi : https://pypi.org/project/mb-scripts/

## Installing and using mb_scripts
The package can be downloaded using `pip install mb-scripts==<latest_version>`<br><br>
The latest version is **0.0.6**.<br><br>
Once you have installed mb_scripts you can begin using it.<br><br> Here are some examples for using mb_scripts.<br><br>
`plot_decision_boundary` is used to visually look at the decision boundary of classification functions<br><br>
![2022-04-25 (1)](https://user-images.githubusercontent.com/86184014/165075925-daa9cdf5-cbe0-41fe-85fa-39395d4cf027.png)<br><br>
`classifiers_metrics` returns a dataframe that consists of precision, recall, accuracy_score and f1_score for all the classification models passed.<br><br>
![2022-04-25 (2)](https://user-images.githubusercontent.com/86184014/165077324-b64aeb9f-170e-4630-a17e-5a0a9174a79e.png)<br><br>

You can also find a couple of cnn image classification models in `mb_scripts.cnn_image_architecture`.<br>

I am writing scripts regularly so the versions will keep changing for the next one month. Stay tuned.


