GitHub / atifkarim / Time-Series-Forecasting-Using-Machine-Learning-Algorithm
Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
Stars: 13
Forks: 2
Open issues: 3
License: None
Language: Jupyter Notebook
Size: 121 MB
Dependencies parsed at: Pending
Created at: almost 6 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: arima-forecasting, big-data, data-science, deep-learning, evaluation-metrics, lstm, lstm-neural-networks, machine-learning, neural-network, numpy, pandas, python36, regression-analysis, regression-models, scikitlearn-machine-learning, time-series