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Created a Chatbot using Machine learning models such as SVM,BERT embeddings,Sentiment Analysis and Created GUI in tkinter for above
Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.
Analysis on data collected from chatbot in Power Bi
My first Implemenation of flask
Churn predictions
Implementing house price prediction in flask
Repositories
35Our approaches for amazon ml challenge 2025
An intelligent CrewAI-powered resume optimization system that automatically analyzes job postings, optimizes resumes for ATS compatibility, and generates personalized career reports using specialized AI agents.
Config files for my GitHub profile.
An end-to-end generative AI application for automated blog generation using AWS serverless architecture with Lambda, Bedrock foundation models, API Gateway, and S3 storage.
Hybrid search RAG using pinecone vector DB and langchain
This project shows how to use LangChain together with GraphDB to build a smart retrieval system for a movie dataset. The main goal is to let users ask natural language questions about movies and get accurate answers by connecting a language model with a graph database.
An end-to-end generative AI math chatbot built with Streamlit, LangChain, and Google Gamma 2, combining Wikipedia search and a calculator tool to solve problems with detailed step-by-step solutions.
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
No description provided.
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End-to-end loan eligibility prediction using XGBoost on Amazon SageMaker with data stored in S3 and tested via local notebook.
Mexico Chapter - Air Quality Prediction and Personalized Health Recommendations for Mexico City
This project analyzes city-wise air pollution using real-world data and compares performance between Pandas and Spark DataFrame. It’s primarily designed to understand how PySpark handles large data compared to regular Pandas workflows.
A simple web-based age calculator built with Flask, deployed using Docker and AWS ECS
Analysis on data collected from chatbot in Power Bi
Created a Chatbot using Machine learning models such as SVM,BERT embeddings,Sentiment Analysis and Created GUI in tkinter for above
This project is part of omdena Local chapter named "Air Quality Prediction and Personalized Health Recommendations for Mexico City" and this repository contains all related resources used by me for this project. Website: https://www.omdena.com/chapter-challenges/air-quality-prediction-and-personalized-health-recommendations-for-mexico-city
A cryptocurrency trading bot for BTC using a core-satellite strategy and Aroon indicator, designed to optimize returns with Dollar-Cost Averaging and dynamic rebalancing based on market conditions.
No description provided.
Assignments of Ineuron Industry Ready Data Science Course
Part of Industry Ready Data Science Assignments - GitHub Task 1.2
No description provided.
Interview Data Science Questions
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.
My first Implemenation of flask
Churn predictions
Implementing house price prediction in flask
In this project we created for super store data using PowerBi.
No description provided.