Update Gadh
Best Deep Dive Zomato Data Analysis Project Using Python & Power BI
This is a project called “Zomato Data Analysis with Python and Power BI” made by UPDATEGADH. It’s all about using real Zomato data
🍽️ 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
🔗 Access the Full Project:
Zomato Data Analysis – Python
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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
🔗 Access the Full Project:
Zomato Data Analysis – Python
📢 Explore more data science projects and source code:
🔗 https://t.me/Projectwithsourcecodes
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Best Flipkart Review Sentiment Analysis – A Complete MLOps-Based Web App
This Flipkart Review Sentiment Analysis project is like a full-on machine learning setup that checks how people feel based on their product reviews.
🛍️ 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
📢 Discover more hands-on machine learning & Python projects:
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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
📢 Discover more hands-on machine learning & Python projects:
🔗 https://t.me/Projectwithsourcecodes
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Best Airline Fare Prediction System – A Complete Machine Learning Web App Using Flask
This project is a full working airline fare prediction web app made using Python and Flask. It uses a machine learning model trained on
✈️ 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
🔗 Explore Project:
Airline Fare Prediction – Full Details
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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
🔗 Explore Project:
Airline Fare Prediction – Full Details
📢 Find more ML & AI-based academic projects:
🔗 https://t.me/Projectwithsourcecodes
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Best Cotton Disease prediction — AI-Powered Plant Health Classification Web App
The Cotton Disease prediction is a deep learning-powered web application built to classify cotton plant health based on uploaded leaf or plant image
🌱 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
🔗 View Full Project:
Cotton Disease Prediction – Explore Now
📢 Discover more AI & agri-tech solutions:
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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
🔗 View Full Project:
Cotton Disease Prediction – Explore Now
📢 Discover more AI & agri-tech solutions:
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Best Multiple Disease Prediction System using Machine Learning
The Multiple Disease Prediction System (MDPS) is a professional-grade machine learning web application that enables users to analyze medical
🧬 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
🔗 View Full Project:
Multiple Disease Prediction – Click Here
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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
🔗 View Full Project:
Multiple Disease Prediction – Click Here
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AI-Powered Cold Mail Generator
Cold Mail Generator is a professionally developed web application designed to streamline the process of job outreach. Built with a focus
🤖 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
🔗 Check Out the Full Project:
AI Cold Mail Generator – Explore Now
📢 Discover more Python automation & AI projects:
🔗 https://t.me/Projectwithsourcecodes
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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
🔗 Check Out the Full Project:
AI Cold Mail Generator – Explore Now
📢 Discover more Python automation & AI projects:
🔗 https://t.me/Projectwithsourcecodes
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Real-Time Life Expectancy Prediction Using Deep Learning
The Life Expectancy Prediction is an advanced real-time web application that leverages deep learning to estimate an individual’s life expectancy
📊 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
🔗 Explore Full Project:
Life Expectancy Prediction – View Now
📢 Find more real-world data science projects:
🔗 https://t.me/Projectwithsourcecodes
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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
🔗 Explore Full Project:
Life Expectancy Prediction – View Now
📢 Find more real-world data science projects:
🔗 https://t.me/Projectwithsourcecodes
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Best Energy consumption prediction Web Application Using Prophet and MERN Stack
Energy consumption prediction energy usage is getting more important these days, especially with how much we rely on data and need to save
⚡ 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
🔗 Explore Full Project:
Energy Consumption Prediction – View Now
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🔗 https://t.me/Projectwithsourcecodes
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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
🔗 Explore Full Project:
Energy Consumption Prediction – View Now
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