Projects using pandas in Sonipat
Projects using pandas in Sonipat
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Ajay Bidyarthy
Businesses today generate a lot of data, but most of it goes unused. Teams often rely on manual analysis or basic tools that can’t uncover deeper patterns. This leads to missed opportunities—whether it’s predicting customer behavior, detecting anomalies, or automating repetitive tasks. Another challenge is that even when machine learning models are built, they are rarely integrated into real workflows. So instead of driving impact, they stay as isolated experiments.
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Vaibhav Kumar
Bitcoin Market Sentiment and Trader Performance Analysis
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Arya A
Development of FakeNewsDetector AI System
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Prajjwal Barmaiya
Automatic Attendance System with Face Recognition
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Harsh Shaw
SpamShield is an ML-powered SMS and email spam detection application built with Python and Streamlit. I developed an NLP pipeline using NLTK for text preprocessing, TF-IDF for feature extraction, and Multinomial Naive Bayes for real-time spam classification. The application provides confidence scoring, message history, live session statistics, and an interactive dashboard for testing messages instantly.
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Puneet Parve
Stock Strategy Tester
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Himanshu Narwal
Compare machine learning classification algorithms
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mayank
Comprehensive Stock Analysis and Prediction Using LSTM: A Case …
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Tannu Antil
Analyzing the Impact of Car Features on Price and Profitability This project aimed to identify which car features most significantly affect pricing and profitability for manufacturers in a competitive and evolving market. The insights generated can guide pricing strategies and product development decisions to better align with consumer expectations and maximize returns.
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Aditya Nambidi
Skin condition analyzer
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Akash Singh
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Mohd Saad
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Khushi Mehta
BizBot: AI-Powered Business Data Chatbot Development
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Sachin Sharma
AI Recommendation Engine
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Muskan
Churn Prediction Model for PowerCo
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Victory Joseph
A prediction model on Real Estate Housing and rental price
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