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1. Mood-Miner Mood-Miner Public

   Mood-Miner is a beginner-friendly sentiment analysis web app built with Python, Streamlit, and Scikit-learn. It uses a custom-trained Naive Bayes classifier and TextBlob to analyze text sentiment.

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2. CodeClauseInternship_SentimentAnalysis CodeClauseInternship_SentimentAnalysis Public

   Created a sentiment analysis tool that determines the sentiment (positive, negative, neutral) of a given text.

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3. SpendSmart SpendSmart Public

   SpendSmart is a Flask-based personal finance tracking application designed to help users manage their expenses efficiently. Users can add, categorize, and analyze their spending through a user-frie…

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4. Exploratory_Data_Analysis-on-Retail-Sales-Data Exploratory_Data_Analysis-on-Retail-Sales-Data Public

   Performed end-to-end Exploratory Data Analysis (EDA) on retail sales data to uncover customer insights, purchasing behavior, and sales trends over time.

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5. Titanic-Survival-Prediction Titanic-Survival-Prediction Public

   This project uses the Titanic dataset to predict whether a passenger survived or not. It is an ideal starting point for anyone who is new to data science and machine learning.

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6. Bharat-Tour Bharat-Tour Public

   BharatTour is a Flask-based web application that generates personalized travel itineraries across India based on user preferences such as travel style, interests, and duration. It dynamically recom…

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