Time Series Binder

Time Series Binder is a Python library for time series analysis and forecasting. It provides a comprehensive set of tools and models to manipulate, visualize, and predict time series data. This library is designed to assist researchers and analysts in performing various time series tasks with ease and efficiency.

Features

• Integration with Pandas for seamless data manipulation and preprocessing.
• Statistical methods for analyzing time series data, including trend analysis, seasonality decomposition, and outlier detection.
• Neural network models powered by Keras for advanced time series forecasting.
• Integration with the NeuralProphet library for additional forecasting capabilities.
• Visualization tools for creating insightful plots and visual representations of time series data.
• Integration with scikit-learn for additional machine learning functionality.