Time Series Forecasting
Keras
English
time-series
stock-forecasting
LSTM
ARIMA
Prophet
machine-learning
deep-learning
forecasting
Instructions to use Hiruni2207/DataSynthis_ML_JobTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Hiruni2207/DataSynthis_ML_JobTask with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Hiruni2207/DataSynthis_ML_JobTask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b229c2bfbb1bb6c2b74f17002a12e8d7f8824b726c7a0867bf770652148bb061
- Size of remote file:
- 76.8 kB
- SHA256:
- 3f67c25bbba3065e9f1fbae4a466d9a60646cd0dadd7acc7bf92ac104090da10
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