andresC98/TSF_Transformers_TFM
Repository containing my Master Thesis for the M.Sc. Big Data Analytics, titled "Time Series Forecasting with Transformers".
This project explores advanced machine learning models, specifically Transformer architectures, to predict future trends in time-series data. It takes historical numerical sequences, like electricity consumption or traffic flow, and generates forecasts. Data scientists and machine learning engineers focused on improving prediction accuracy for complex sequential data would find this useful.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer evaluating deep learning models for accurate time series forecasting, especially with large, complex datasets.
Not ideal if you need a simple, out-of-the-box forecasting solution without diving into model architectures and experimental comparisons.
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Jun 26, 2021
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