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This project focuses on time series analysis and forecasting of power consumption using various models such as Holt-Winters (additive and multiplicative) and Auto ARIMA. The dataset includes timestamps, power consumption (kW), and temperature (°C) over a period of 52 days, with a 15-minute interval between observations.
🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.
Constructed time series analysis and recurrent neural networks in GDP prediction under the global pandemic. Grasped data from remote data access, added in employment rate, cases of infection and indices for better representation, evaluation and optimization.
A React.js + Flask + MongoDB web application that details information on the Coronavirus, including datasets, news, a time series analysis, and vaccine distribution information. Utilizes 6 APIs in order to fetch and present data via a user friendly interface. Utilizes Chart.js & D3.js for mapping and dynamic visualizations.