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🍽️ Zomato Data Analysis – Python Project

A data-driven exploration of Zomato’s restaurant dataset, focused on uncovering insights into cuisines, pricing trends, user ratings, and geographical distributions. A strong addition to any data science portfolio.

📊 Key Features
• Exploratory Data Analysis (EDA) with Pandas & Matplotlib
• City-wise restaurant insights & trends
• Cuisine popularity and rating comparisons
• Visualizations using Seaborn & Plotly
• Ideal for learning data wrangling and storytelling

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Zomato Data Analysis – Python

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🛍️ Flipkart Review Sentiment Analysis – Python Project

A machine learning project focused on analyzing customer reviews from Flipkart to determine sentiment polarity (positive, negative, or neutral). A great fit for anyone diving into NLP and eCommerce analytics.

🧠 Key Features
• Text preprocessing & cleaning
• Sentiment classification using ML models
• Visual representation of review sentiment
• Built with Python, Pandas, Sklearn & Matplotlib
• Real-world dataset used for training & testing

🔗 Project Link:
Flipkart Review Sentiment Analysis – View Project

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✈️ Airline Fare Prediction – Data Science Project

An advanced machine learning model designed to predict airline ticket prices based on features like source, destination, duration, airline, and more. A valuable project for travel tech and data-driven pricing models.

📈 Project Highlights
• Data preprocessing & feature engineering
• Model building using Regression techniques
• Visual analysis of pricing patterns
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Ideal for students & professionals in data science

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Airline Fare Prediction – Full Details

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🌱 Cotton Disease Prediction – Data Science Project

A precision agriculture solution that leverages image classification and machine learning to detect diseases in cotton crops. This project supports early intervention and better crop management.

🔍 Project Highlights
• Image preprocessing & augmentation
• CNN-based disease detection
• Trained on real cotton leaf datasets
• Developed using Python, TensorFlow/Keras
• Boosts agricultural productivity through AI

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Cotton Disease Prediction – Explore Now

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🧬 Multiple Disease Prediction System – Python Project

An AI-powered diagnostic system that predicts multiple diseases such as Diabetes, Heart Disease, and Parkinson’s using user input and machine learning models. A practical tool for early detection and medical research.

🏥 Project Highlights
• Predicts multiple diseases from health metrics
• User-friendly input interface
• Logistic Regression, Random Forest & SVM models
• Built using Python, Streamlit, Pandas, Sklearn
• Valuable for healthcare & ML learning

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Multiple Disease Prediction – Click Here

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🤖 AI Cold Mail Generator – Python Project

Boost your outreach with an AI-based cold email generator that creates professional, customized emails using NLP and automation. A smart productivity tool for marketers, freelancers, and business professionals.

✉️ Key Features
• Generates personalized cold emails
• Uses Natural Language Processing (NLP)
• User input: tone, industry, intent
• Built with Python, OpenAI API (or NLP models)
• Time-saving solution for sales & networking

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AI Cold Mail Generator – Explore Now

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📊 Life Expectancy Prediction – Data Science Project

A powerful predictive model that estimates life expectancy based on various socio-economic and health-related factors. This project is ideal for those exploring data-driven healthcare and policy analytics.

🧠 Key Highlights
• Predicts life expectancy using regression models
• Analyzes features like GDP, BMI, immunization rates, etc.
• Data preprocessing, EDA & model evaluation included
• Developed using Python, Pandas, Matplotlib, Sklearn
• Great for data science portfolios and academic use

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Life Expectancy Prediction – View Now

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⚡ Energy Consumption Prediction – Data Science Project

A smart analytics solution that forecasts future energy consumption using historical usage patterns. Ideal for energy management systems, smart grids, and sustainability-focused platforms.

📈 Project Highlights
• Time series forecasting of energy usage
• Data preprocessing & feature engineering
• Models: Linear Regression, Random Forest, etc.
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Valuable for energy analytics and smart infrastructure

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Energy Consumption Prediction – View Now

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