[Code Addition Request]: Deep learning models #835
Merged
+6,778
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Pull Request for PyVerse 💡
Requesting to submit a pull request to the PyVerse repository.
Issue Title
Please enter the title of the issue related to your pull request.
[Code Addition Request]: Deep learning models
Info about the Related Issue
What's the goal of the project?
PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
Name
Please mention your name.
Yash K. Saini
GitHub ID
Please mention your GitHub ID.
yashksaini-coder
Email ID
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[email protected]
Identify Yourself
Mention in which program you are contributing (e.g., WoB, GSSOC, SSOC, SWOC).
GSSoC-Ext
Closes
Enter the issue number that will be closed through this PR.
Closes: #816
Describe the Add-ons or Changes You've Made
Give a clear description of what you have added or modified.
This pull request primarily focuses on adding comprehensive documentation and necessary dependencies for the Fraud Transactions Prediction Neural Network project. The changes include a detailed README file and a
requirements.txt
file listing the needed Python libraries.Documentation Enhancements:
Deep_Learning/Fraud Transactions Prediction NN/README.md
: Added a detailed README file that includes an overview of the project, technologies used, dataset description, installation instructions, usage guidelines, and steps for data exploration, model training, evaluation, and interpretation.Dependency Management:
Deep_Learning/Fraud Transactions Prediction NN/requirements.txt
: Added a list of required Python libraries for the project, includingscikit-learn
,pandas
,matplotlib
,seaborn
,numpy
,scipy
,statsmodels
,imblearn
,shap
,tensorflow
,missingno
,xgboost
,lightgbm
,keras
, andjoblib
.Type of Change
Select the type of change:
How Has This Been Tested?
Describe how your changes have been tested.
Describe your testing process here.
Checklist
Please confirm the following: