This repository contains codes related to my AI , Machine learning and data Science practice for courseworks and self learning.
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Updated
Sep 1, 2024 - Jupyter Notebook
This repository contains codes related to my AI , Machine learning and data Science practice for courseworks and self learning.
A transformer model to generate tags for stack overflow questions
"Frequently Asked Questions" site based on StackOverflow Questions and Answers
Data analysis, preprocessing and feature engineering of StackSample dataset & development of 2 ML models (vanilla xgboost + LLM-based model) for tag prediction
StackOverflow → Telegram bridge. Monitoring a specific tag and posting questions to the TG group.
A telegram bot that notifies you about new questions on Stack Exchange projects
🏆 My collection of responses/participations in forums.
An automated tag prediction system on stackoverflow
In this repository, I submit my ideas, learning and code during my attempt at solving Taxonomy Prediction Problem for TCS HumAIn 2019.
A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.
Built model for predicting tag for stack overflow from the real dataset of stack overflow
Stackoverflow tag predictor is an application that can help you generate appropriate tags using a multiclass label classifier.
Predict tags of stack overflow posts using NLP
This is the Submission for Project for TCS HumAIn.
A web crawler which crawls the stackoverflow website.
Using Machine Learning techniques, we try to suggest as many tags as possible based on the question while maintaining high precision and recall.
Predict topic tags for StackOverflow questions
Add a description, image, and links to the stackoverflow-tags topic page so that developers can more easily learn about it.
To associate your repository with the stackoverflow-tags topic, visit your repo's landing page and select "manage topics."