Update Gadh
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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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
📢 Discover more real-world machine learning projects:
🔗 https://t.me/Projectwithsourcecodes
#EnergyPrediction #DataScienceProject #MachineLearning #SmartEnergy #PythonProject #EnergyAnalytics #ForecastingModel #Sustainability #projectwithsourcecodes #TimeSeriesML #EnergyEfficiency
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Update Gadh
Water Quality Prediction System – A Smart Web-Based ML Application
I made this Water Quality Prediction System, which is basically a website made with Python and Flask that uses machine learning to tell if water
💧 Water Quality Prediction – Data Science Project
A machine learning–based solution to assess and predict the safety of water based on physical and chemical parameters. An essential project for environmental monitoring and public health applications.
🔬 Project Highlights
• Predicts water potability using supervised ML models
• Involves data cleaning, visualization & feature engineering
• Algorithms: Logistic Regression, Random Forest, SVM, etc.
• Built with Python, Pandas, Scikit-learn, Matplotlib
• Ideal for environmental science and public safety solutions
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Water Quality Prediction – View Now
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A machine learning–based solution to assess and predict the safety of water based on physical and chemical parameters. An essential project for environmental monitoring and public health applications.
🔬 Project Highlights
• Predicts water potability using supervised ML models
• Involves data cleaning, visualization & feature engineering
• Algorithms: Logistic Regression, Random Forest, SVM, etc.
• Built with Python, Pandas, Scikit-learn, Matplotlib
• Ideal for environmental science and public safety solutions
🔗 Explore Full Project:
Water Quality Prediction – View Now
📢 Explore more impactful data science projects:
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