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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!
#BikePricePrediction #PythonProject #MachineLearning #DataScience #MLProjects #RegressionModel #OpenSourceProject #StudentProjects #Projectwithsourcecodes
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!
#BikePricePrediction #PythonProject #MachineLearning #DataScience #MLProjects #RegressionModel #OpenSourceProject #StudentProjects #Projectwithsourcecodes
ChatGPT said:
🤝 Bike Price Prediction – Data Science / ML
A machine learning project that predicts the resale price of bikes using data like brand, model, year, engine capacity, and kilometers driven. It uses Flask for deployment and XGBoost as the main model for accurate predictions.
Key Features
• Flask web interface for user input
• XGBoost model for price prediction
• Data preprocessing and feature selection
• High model accuracy on test data
• Clean and responsive result display
🔗 Explore the full project here:
Bike Price Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Flask #XGBoost #BikePricePrediction #DataScience #WebApp #MLProject #SourceCode #ProjectShowcase
🤝 Bike Price Prediction – Data Science / ML
A machine learning project that predicts the resale price of bikes using data like brand, model, year, engine capacity, and kilometers driven. It uses Flask for deployment and XGBoost as the main model for accurate predictions.
Key Features
• Flask web interface for user input
• XGBoost model for price prediction
• Data preprocessing and feature selection
• High model accuracy on test data
• Clean and responsive result display
🔗 Explore the full project here:
Bike Price Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Flask #XGBoost #BikePricePrediction #DataScience #WebApp #MLProject #SourceCode #ProjectShowcase