Water Meter Analysis & Prediction
PythonPandasNumPyScikit-learnMatplotlibPytorch
This project leverages machine learning to analyze and predict water consumption using smart water meter data. Utilizing advanced data preprocessing and predictive modeling techniques aims to optimize water usage monitoring and forecasting.
Key Features
Time series analysis and forecasting
Deep learning models with PyTorch
Data visualization and insights
Automated prediction pipeline
Challenges
Handling large-scale time series data
Model optimization for accuracy
Feature engineering for water consumption patterns
Key Learnings
Advanced time series forecasting techniques
Deep learning for regression problems
Data preprocessing and feature engineering
Duration
2 months
Role
ML Engineer
Status
completed