Training Experiment · Jupyter Notebook
Gold-Price-Predictive-Analysis-with-LSTM
Kelompok Jolin
What it is
This repository provides a Jupyter notebook that loads historical gold price and macroeconomic data, builds and trains an LSTM model using PyTorch for price forecasting, and evaluates performance via time‑series cross‑validation. It includes Docker configuration for containerized execution.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning90%
- Data Science60%
- MLOps20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 59Pinrin-AIML Application · Python53.5ImplementationIrine MiltonMachine Learning
- 60, shared rankDream-11-Mid-PrepML Application · Python53.4ImplementationVraj PatelMachine Learning
- 60, shared ranknatural-language-processingEducational Implementation · Python53.4ImplementationVraj PatelMachine Learning
- 60, shared ranknaturalsqlML Application · TypeScript53.4ImplementationMurat GençMachine Learning
- 60, shared rankGold-Price-Predictive-Analysis-with-LSTMTraining Experiment · Jupyter Notebook53.4ImplementationDaffaMachine Learning
