Comments (3)
dipanjanS
commented on July 19, 2024
You need to read through the chapter of the book to know the steps to run the notebook. An alternate approach would be to download the full code of Chapter 11 from here: https://github.com/dipanjanS/practical-machine-learning-with-python/tree/master/notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices and make sure all the files are present along with the notebooks.
The arima_utils and lstm_utils are both created by us and hence not a part of any standard library and you will find them in that folder itself mentioned in the preceding link.
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ankurmedhi
commented on July 19, 2024
thank you..got it..
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JanosVrbata
commented on July 19, 2024
ahaaaaaaa, sorry for that.
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Related Issues (20)
- expand contractions is not working as expected HOT 1
- unable to install model_evaluation_utils HOT 9
- Index Error HOT 3
- Error in Accessing Layers of Word Embedding model HOT 1
- Easier way to download "en_vectors_web_lg" model in spacy HOT 1
- Requirements file
- Ch07 use contractions_dict instead of import CONTRACTION_MAP
- Very minor bug in contractions with "ain't"
- Chapter 8 - frequent_itemsets not defined
- Chapter 8 - NameError: name 'OneHot' is not defined
- TypeError: 'NoneType' object is not subscriptable HOT 1
- Chapter 11 - notebook_gold_forecast_arima.ipynb
- Practical machine learning
- Contractions bug HOT 1
- Chapter 9 error Tensorflow AttributeError: 'Sequential' object has no attribute 'predict_class' because predict_class() changed to predict() HOT 1
- Chapter 9 error in Sklearn "DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). y = column_or_1d(y, warn=True)" HOT 1
- datasets
- Chapter-3,Visualization using Matplotlib,page-170(Legends)
- Chapter 4 feature engineering numeric data notebook broken on GitHub HOT 1
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