/ND-Weather-Time-Series-Forecasting-

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economy, weather, stock price, and retail sales. Here, I am going to predict temperature with time series forecasting using RNN method.

Primary LanguageJupyter NotebookMIT LicenseMIT

ND-Weather-Time-Series-Forecasting-

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economy, weather, stock price, and retail sales. Here, I am going to predict temperature with time series forecasting using RNN method.