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Best Time Series Forecasting Web App using Streamlit
Time Series Forecasting Web App is an easy and powerful tool made using Python and Streamlit. It lets users do forecasting using popular models
📅📈 Time Series Forecasting – Python Project 🐍🧠
Master the art of predicting future trends using historical data! This project applies machine learning techniques to time series datasets — ideal for finance, sales, or trend analysis.
🔍 Key Features:
🧮 Analyze and forecast using time series models
📊 Python with Pandas, Matplotlib, Sklearn
⏳ Works with real sequential datasets (sales, stocks, etc.)
🤖 Apply ARIMA, regression, or LSTM models
🆓 100% free and open source
🔗 Download & Source Code:
👉 Time Series Forecasting – Python
📢 Explore more Python, ML, and data projects with code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Start predicting the future with Python & ML!
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Master the art of predicting future trends using historical data! This project applies machine learning techniques to time series datasets — ideal for finance, sales, or trend analysis.
🔍 Key Features:
🧮 Analyze and forecast using time series models
📊 Python with Pandas, Matplotlib, Sklearn
⏳ Works with real sequential datasets (sales, stocks, etc.)
🤖 Apply ARIMA, regression, or LSTM models
🆓 100% free and open source
🔗 Download & Source Code:
👉 Time Series Forecasting – Python
📢 Explore more Python, ML, and data projects with code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Start predicting the future with Python & ML!
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Best Driver Drowsiness Detection System
This Driver Drowsiness Detection System is a Python app that can spot when a driver looks sleepy in real time. It looks at your face, mostly the
😴🚗 Driver Drowsiness Detection – Python Project 🐍🧠
Enhance road safety using computer vision! This Python project detects signs of driver fatigue using real-time video and machine learning.
🔍 Key Features:
👀 Eye blink & yawn detection
🎥 Real-time webcam monitoring
📦 Built using OpenCV, Dlib, and Python
🚨 Triggers alerts when drowsiness is detected
🆓 Open source and beginner-friendly
🔗 Download & Source Code:
👉 Driver Drowsiness Detection – Python
📢 Get more ML, AI, and safety-related projects at:
🔗 https://t.me/Projectwithsourcecodes
🚀 Build tech that saves lives!
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Enhance road safety using computer vision! This Python project detects signs of driver fatigue using real-time video and machine learning.
🔍 Key Features:
👀 Eye blink & yawn detection
🎥 Real-time webcam monitoring
📦 Built using OpenCV, Dlib, and Python
🚨 Triggers alerts when drowsiness is detected
🆓 Open source and beginner-friendly
🔗 Download & Source Code:
👉 Driver Drowsiness Detection – Python
📢 Get more ML, AI, and safety-related projects at:
🔗 https://t.me/Projectwithsourcecodes
🚀 Build tech that saves lives!
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Best Bike Price Prediction System using Streamlit, Python ML Project
The Bike Price Prediction System is a machine learning web app made using Python and Streamlit. Users can enter details about a bike, and the
🏍️📊 Bike Price Prediction System – Python Project 🐍💰
Use machine learning to estimate the price of a bike based on its features. A perfect project for data science and regression model practice!
🔍 Key Features:
🛠️ Predict price based on brand, age, kms driven, etc.
📈 Built using Python, Pandas, Sklearn
📊 Real-world dataset training
📦 Linear regression or other ML models
🆓 100% free with full source code
🔗 Download & Source Code:
👉 Bike Price Prediction System – Python
📢 For more Python, ML, and data projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Predict smarter with machine learning!
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Use machine learning to estimate the price of a bike based on its features. A perfect project for data science and regression model practice!
🔍 Key Features:
🛠️ Predict price based on brand, age, kms driven, etc.
📈 Built using Python, Pandas, Sklearn
📊 Real-world dataset training
📦 Linear regression or other ML models
🆓 100% free with full source code
🔗 Download & Source Code:
👉 Bike Price Prediction System – Python
📢 For more Python, ML, and data projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Predict smarter with machine learning!
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Best Customer Churn Prediction System Using ML and Python
The Customer Churn Prediction System is a simple web app made with Streamlit. It looks at customer data and tries to guess which customers
📉👥 Customer Churn Prediction – Python Project 🐍🤖
Predict which customers are likely to leave a business using machine learning! This project is a must-have for data science and business analytics learners.
🔍 Key Features:
🧠 Classification model using Python & Sklearn
📊 Works with real-world customer data
📦 Logistic Regression / Random Forest models
💼 Great for telecom, banking & SaaS businesses
🆓 100% free with complete source code
🔗 Download & Source Code:
👉 Customer Churn Prediction – Python
📢 For more ML, AI, and business-focused Python projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Predict and prevent churn with smart analytics!
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Predict which customers are likely to leave a business using machine learning! This project is a must-have for data science and business analytics learners.
🔍 Key Features:
🧠 Classification model using Python & Sklearn
📊 Works with real-world customer data
📦 Logistic Regression / Random Forest models
💼 Great for telecom, banking & SaaS businesses
🆓 100% free with complete source code
🔗 Download & Source Code:
👉 Customer Churn Prediction – Python
📢 For more ML, AI, and business-focused Python projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Predict and prevent churn with smart analytics!
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Best AI-Powered Automated Attendance System
If you're looking for a modern and impactful final year project, this AI-Based Automated Attendance System is the perfect choice.
📸✅ Automated Attendance System – Python Project 🐍🎓
Say goodbye to manual roll calls! This smart system uses face recognition to automatically mark attendance. A practical AI project for students and developers.
🔍 Key Features:
👁️ Face detection & recognition
🕒 Real-time webcam integration
📦 Built using Python, OpenCV, and face_recognition
📄 Records attendance in Excel/CSV
🆓 Fully open source and customizable
🔗 Download & Source Code:
👉 Automated Attendance System – Python
📢 For more AI, ML, and Python-based academic projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Bring automation to your classroom or office!
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Say goodbye to manual roll calls! This smart system uses face recognition to automatically mark attendance. A practical AI project for students and developers.
🔍 Key Features:
👁️ Face detection & recognition
🕒 Real-time webcam integration
📦 Built using Python, OpenCV, and face_recognition
📄 Records attendance in Excel/CSV
🆓 Fully open source and customizable
🔗 Download & Source Code:
👉 Automated Attendance System – Python
📢 For more AI, ML, and Python-based academic projects:
🔗 https://t.me/Projectwithsourcecodes
🚀 Bring automation to your classroom or office!
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Best Weather Prediction Using Python And Machine Learning
The “Best Weather Prediction Using Python And Machine Learning” is a simple web app that predicts and shows real-time weather. It’s built using
⛅📈 Weather Prediction – Python Project 🐍🌦️
Create your own weather forecasting tool using machine learning! This project predicts future weather conditions based on past data — perfect for beginners in data science.
🔍 Key Features:
📊 Weather dataset training
📦 Python + Pandas + Sklearn
🌡️ Predicts temperature, humidity, etc.
🧠 Regression-based ML model
🆓 Free source code, easy to modify
🔗 Download & Source Code:
👉 Weather Prediction – Python
📢 For more Python ML projects with full code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Start forecasting with Python today!
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Create your own weather forecasting tool using machine learning! This project predicts future weather conditions based on past data — perfect for beginners in data science.
🔍 Key Features:
📊 Weather dataset training
📦 Python + Pandas + Sklearn
🌡️ Predicts temperature, humidity, etc.
🧠 Regression-based ML model
🆓 Free source code, easy to modify
🔗 Download & Source Code:
👉 Weather Prediction – Python
📢 For more Python ML projects with full code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Start forecasting with Python today!
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Football Match Predictor Using Machine Learning
Football Match Predictor is a simple web app made using Python, Flask, and SQLite. It predicts football match results based on past match
⚽📈 Football Match Predictor – Data Science Project 🧠🐍
Predict match outcomes using machine learning! This project is built for data science learners and football enthusiasts alike. 🧮🏆
🔍 Key Features:
✅ Built with Python & ML algorithms
📊 Predict match results based on historical data
📁 Dataset preprocessed for model training
📉 Uses classification techniques (Logistic Regression, etc.)
🔗 Download & Source Code:
👉 Football Match Predictor – Python
📢 For more ML, Python, and final-year projects:
🔗 https://t.me/Projectwithsourcecodes
⚽ Level up your data science game with sports analytics!
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🔍 Key Features:
✅ Built with Python & ML algorithms
📊 Predict match results based on historical data
📁 Dataset preprocessed for model training
📉 Uses classification techniques (Logistic Regression, etc.)
🔗 Download & Source Code:
👉 Football Match Predictor – Python
📢 For more ML, Python, and final-year projects:
🔗 https://t.me/Projectwithsourcecodes
⚽ Level up your data science game with sports analytics!
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🔥 Project Name:
✨ Student Performance Prediction System
📚 Use Case:
Predict how well a student will perform based on study hours, attendance, past scores, etc. Great for academic analytics!
🚀 Key Features:
✅ Data Cleaning & Preprocessing (Pandas, NumPy)
✅ Model Training with ML algorithms (Linear Regression, Decision Tree)
✅ Accuracy Score + Graphs 📈
✅ Optional Web Interface using Flask
✅ Dataset included in project!
🧠 Perfect For:
✅ Final Year Projects
✅ Data Science Practice
✅ BCA/BTech/MCA students
📥 Download full source code + documentation:
👉 Updategadh.com
🔖 Hashtags:
#DataScience #MachineLearning #FinalYearProject #StudentPrediction #PythonProject #Updategadh #ProjectWithSourceCodes
✨ Student Performance Prediction System
📚 Use Case:
Predict how well a student will perform based on study hours, attendance, past scores, etc. Great for academic analytics!
🚀 Key Features:
✅ Data Cleaning & Preprocessing (Pandas, NumPy)
✅ Model Training with ML algorithms (Linear Regression, Decision Tree)
✅ Accuracy Score + Graphs 📈
✅ Optional Web Interface using Flask
✅ Dataset included in project!
🧠 Perfect For:
✅ Final Year Projects
✅ Data Science Practice
✅ BCA/BTech/MCA students
📥 Download full source code + documentation:
👉 Updategadh.com
🔖 Hashtags:
#DataScience #MachineLearning #FinalYearProject #StudentPrediction #PythonProject #Updategadh #ProjectWithSourceCodes
🎯 Project Name: Stock Price Prediction System
What it does:
🔹 Takes stock data (past prices, volume, trends)
🔹 Uses ML models to predict future price
🔹 Visualizes data in cool graphs 📊
🔹 Helps users understand market movement
Built Using:
✅ Python
✅ Pandas, NumPy
✅ Matplotlib + Seaborn
✅ Scikit-learn
✅ Optionally Flask for web version
Why try this?
✅ Perfect for BCA / MCA / BTech students
✅ Great final year or internship-level project
✅ Can be extended into a full product!
📥 Full source code + PPT + Report available now 👉 Updategadh.com
#StockPrediction #PythonProjects #MachineLearning #FinalYearReady #Updategadh #ProjectWithSourceCodes #StudentDev
What it does:
🔹 Takes stock data (past prices, volume, trends)
🔹 Uses ML models to predict future price
🔹 Visualizes data in cool graphs 📊
🔹 Helps users understand market movement
Built Using:
✅ Python
✅ Pandas, NumPy
✅ Matplotlib + Seaborn
✅ Scikit-learn
✅ Optionally Flask for web version
Why try this?
✅ Perfect for BCA / MCA / BTech students
✅ Great final year or internship-level project
✅ Can be extended into a full product!
📥 Full source code + PPT + Report available now 👉 Updategadh.com
#StockPrediction #PythonProjects #MachineLearning #FinalYearReady #Updategadh #ProjectWithSourceCodes #StudentDev
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Disease Prediction Web Application using Machine Learning
Multiple Disease Prediction Web App is a health-related project made using Python and Streamlit. It allows users to enter their health details
🧬🩺 Disease Prediction System – Python Project 🐍💻
Predict diseases based on symptoms using machine learning algorithms! A perfect project for data science, healthcare, or final-year academic work.
🔍 Key Features:
✅ Symptom-based disease prediction
📊 Trained ML models (e.g., Decision Tree, Naive Bayes)
🧠 User-friendly interface
🗂️ Built using Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Disease Prediction System – Python
📢 For more ML & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
💡 Transform healthcare with AI & data science!
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Predict diseases based on symptoms using machine learning algorithms! A perfect project for data science, healthcare, or final-year academic work.
🔍 Key Features:
✅ Symptom-based disease prediction
📊 Trained ML models (e.g., Decision Tree, Naive Bayes)
🧠 User-friendly interface
🗂️ Built using Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Disease Prediction System – Python
📢 For more ML & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
💡 Transform healthcare with AI & data science!
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Big Mart Sales Prediction System using Python and Machine Learning
Amazon Big Mart Sales Prediction is a machine learning project that helps predict sales for different Big Mart stores using real retail data.
🛒📊 Big Mart Sales Prediction – Data Science Project 🧠🐍
Predict sales for retail products using machine learning! This project is perfect for beginners and data science students working on regression models.
🔍 Key Features:
✅ Predict sales based on item & store data
📊 Linear Regression, Decision Trees & more
🗂️ Data cleaning, preprocessing, and EDA
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Big Mart Sales Prediction – Python
📢 For more ML & data science projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Start your journey into sales forecasting today!
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Predict sales for retail products using machine learning! This project is perfect for beginners and data science students working on regression models.
🔍 Key Features:
✅ Predict sales based on item & store data
📊 Linear Regression, Decision Trees & more
🗂️ Data cleaning, preprocessing, and EDA
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Big Mart Sales Prediction – Python
📢 For more ML & data science projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Start your journey into sales forecasting today!
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Posture Detection Using Machine Learning in Python
Posture Detection This is a professional-grade, paid project developed using Python and Flask. The application detects human posture and
🧍♂️💻 Posture Detection System – Python Project 🐍🎯
Monitor and detect incorrect posture in real-time using computer vision and Python! Ideal for fitness apps, health tech, or academic projects.
🔍 Key Features:
✅ Real-time posture tracking using webcam
📷 OpenCV & MediaPipe integration
🔔 Alerts for incorrect sitting/standing posture
🧠 Uses Python, OpenCV, NumPy
🔗 Download & Source Code:
👉 Posture Detection – Python
📢 Explore more AI, ML & Python projects here:
🔗 https://t.me/Projectwithsourcecodes
🧘 Improve posture, boost productivity — with code!
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Monitor and detect incorrect posture in real-time using computer vision and Python! Ideal for fitness apps, health tech, or academic projects.
🔍 Key Features:
✅ Real-time posture tracking using webcam
📷 OpenCV & MediaPipe integration
🔔 Alerts for incorrect sitting/standing posture
🧠 Uses Python, OpenCV, NumPy
🔗 Download & Source Code:
👉 Posture Detection – Python
📢 Explore more AI, ML & Python projects here:
🔗 https://t.me/Projectwithsourcecodes
🧘 Improve posture, boost productivity — with code!
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Spam Detection System Using Machine Learning
The Spam Detection System is a professional machine learning project built to identify and filter out this kind of unwanted content.This advanced
📩🛡️ Spam Detection System – Python Project 🐍🔍
Detect spam messages and emails using machine learning! A perfect NLP project for data science and cybersecurity enthusiasts.
🔍 Key Features:
✅ Classifies messages as spam or ham
🧠 Uses Naive Bayes / NLP techniques
🗃️ Dataset preprocessing & vectorization
💻 Built using Python, scikit-learn, Pandas
🆓 Free to download with full source code
🔗 Download & Source Code:
👉 Spam Detection System – Python
📢 For more ML, Python & final-year projects:
🔗 https://t.me/Projectwithsourcecodes
🚫 Say goodbye to spam — with smart ML solutions!
#SpamDetection #NLPProject #PythonML #MachineLearning #CyberSecurity #TextClassification #DataScienceProject #OpenSourceCode #FinalYearProject #projectwithsourcecodes
Detect spam messages and emails using machine learning! A perfect NLP project for data science and cybersecurity enthusiasts.
🔍 Key Features:
✅ Classifies messages as spam or ham
🧠 Uses Naive Bayes / NLP techniques
🗃️ Dataset preprocessing & vectorization
💻 Built using Python, scikit-learn, Pandas
🆓 Free to download with full source code
🔗 Download & Source Code:
👉 Spam Detection System – Python
📢 For more ML, Python & final-year projects:
🔗 https://t.me/Projectwithsourcecodes
🚫 Say goodbye to spam — with smart ML solutions!
#SpamDetection #NLPProject #PythonML #MachineLearning #CyberSecurity #TextClassification #DataScienceProject #OpenSourceCode #FinalYearProject #projectwithsourcecodes
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Diabetes Prediction Using Machine Learning Based Web App
Diabetes Prediction This project is a professional-level web app built to predict the risk of diabetes in patients using clinical details like glucose level,
🩺🔍 Diabetes Prediction System – Python Project 🐍📊
Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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What is a Neural Radiance Field (NeRF)
Neural Radiance Field In the evolving field of photogrammetry and 3D scene reconstruction, Neural Radiance Fields (NeRF) have emerged as
🧠📸 Neural Radiance Field (NeRF) – Deep Learning Tutorial 🖼️🔥
Explore the groundbreaking technique behind photorealistic 3D scene reconstruction from 2D images using deep learning!
🚀 What You’ll Learn:
✅ What is NeRF and how it works
📊 3D scene synthesis using neural networks
🧱 Concepts like volumetric rendering, view synthesis
📁 Code-level explanation and implementation
🧠 For enthusiasts of 3D graphics, AI, and research
🔗 Read the Full Tutorial:
👉 Neural Radiance Field (NeRF) – Tutorial
📢 For more tutorials on AI, DL, and research topics:
🔗 https://t.me/Projectwithsourcecodes
🌐 Dive into the future of 3D AI rendering!
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Explore the groundbreaking technique behind photorealistic 3D scene reconstruction from 2D images using deep learning!
🚀 What You’ll Learn:
✅ What is NeRF and how it works
📊 3D scene synthesis using neural networks
🧱 Concepts like volumetric rendering, view synthesis
📁 Code-level explanation and implementation
🧠 For enthusiasts of 3D graphics, AI, and research
🔗 Read the Full Tutorial:
👉 Neural Radiance Field (NeRF) – Tutorial
📢 For more tutorials on AI, DL, and research topics:
🔗 https://t.me/Projectwithsourcecodes
🌐 Dive into the future of 3D AI rendering!
#NeuralRadianceField #NeRF #DeepLearning #3DReconstruction #MachineLearning #ComputerVision #VolumetricRendering #AIResearch #OpenSourceTutorials #projectwithsourcecodes
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Food Delivery Time Prediction System Using Machine Learning
Food Delivery Time Prediction System So basically, this project is about using AI to guess how long food delivery will take. It looks at stuff like
🍔📦 Food Delivery Time Prediction – Data Science Project 🧠
Predict delivery time based on restaurant, order, and traffic data using powerful machine learning techniques!
🚀 Project Highlights:
✅ Predict food delivery ETA using ML algorithms
📊 Involves feature engineering, regression models
📁 Built with Python, Pandas, scikit-learn
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Predict delivery time based on restaurant, order, and traffic data using powerful machine learning techniques!
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✅ Predict food delivery ETA using ML algorithms
📊 Involves feature engineering, regression models
📁 Built with Python, Pandas, scikit-learn
📉 Ideal for Data Science and Final Year Projects
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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
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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:
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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
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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
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Airline Fare Prediction – Full Details
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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
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Cotton Disease Prediction – Explore Now
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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:
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