Metadata-Version: 2.4
Name: Drug_EDA
Version: 0.0.1
Summary: Drug activity prediction package with EDA and model pipeline utilities.
Home-page: https://github.com/yourusername/Drug_EDA
Author: Ishan
Author-email: ishsin.2020@gmil.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: Flask<3.0.0,>=2.0.0
Requires-Dist: mlflow
Requires-Dist: dvc
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

Welcome to my Drug Activity Prediction Project.
In this project I have used machine learning to predict activity of a drug on the basis of my training data obtained from.......
There were 5 diffrent component on the basis of which i have classified the data.


Citation-Ballabio,Davide, Cassotti,Matteo, Consonni,Viviana, and Todeschini,Roberto. (2019). QSAR fish toxicity. UCI Machine Learning Repository. https://doi.org/10.24432/C5JG7B.



More help was taken from-Design of experiments for the NIPS 2003 variable selection benchmark
Isabelle Guyon – July 2003
isabelle@clopinet.com
