The repository presents the notebooks and models used for my experimental bachelor thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries". Used Python language and Tensorflow/Keras
machine-learning deep-neural-networks deep-learning feature-selection neural-networks feature-engineering keras-tensorflow stl-algorithms cnn-lstm loess cnn-lstm-models loess-smoothers seasonality-analysis
- Updated
Mar 4, 2025 - Jupyter Notebook