Federal Grants and Funding Opportunities Analysis

[abhisheks008]

ML-Crate Repository (Proposing new issue)

🔴 Project Title : Federal Grants and Funding Opportunities Analysis
🔴 Aim : The aim of this project is to analyze the given dataset using machine learning models.
🔴 Dataset : https://www.kaggle.com/datasets/webdevbadger/federal-grants-and-funding-opportunities
🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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✅ To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID (If not, then put NA) :
• Approach for this Project :
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[adi271001]

can you assign this to me under jwoc 2024

[abhisheks008]

Mention your approach as per the issue template.

[adi271001]

Full name : Aditya D
GitHub Profile Link : https://www.github.com/adi271001
Participant ID (If not, then put NA) : NA
Approach for this Project : extensive EDA and analysis , using regression and clasiification to learn the patterns models used : linear regression , logistic regression , xgboost , gradient boost, decision tree , random forest , svm ,knn
What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) JWOC contributor

[abhisheks008]

Assigned @adi271001