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🤝 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
Update Gadh
Best Game Recommender System Using Machine Learning
A simple project on the Game Recommender System that leverages data-driven techniques to suggest games based on user preferences
🤝 Game Recommender System – Python / Streamlit
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
🔗 Explore the full project here:
Game Recommender System – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
🔗 Explore the full project here:
Game Recommender System – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase