Time Series Forecasting Experiments A collection of hands-on experiments with time series data, featuring models like ARIMA, LSTM, and Prophet. From data preprocessing to forecasting, explore real-world applications like stock predictions and weather forecasting. Continuously updated with new techniques and models for better performance.

Determine fractal order by the ADF test

Explored classic time series modeling techniques to analyze and forecast quarterly data with trends and seasonality.

Time Series Analysis and Forecasting

A data science project focused on forecasting Ethereum's market trends against USDT using the ARIMA model. Historical price data is analyzed to identify patterns and make future price predictions, helping to understand potential market behavior through statistical time series modeling.

This model predicts co2 level in atmosphere on account of historical data.

Analysis of Skewness and Kurtosis in Stock Return data and their Transformations