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updated readme for docker
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@@ -1,3 +1,5 @@
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# requirements.txt file with basic libraries to install for a machine learning workflow
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numpy
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pandas
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scikit-learn
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@@ -5,24 +7,35 @@ matplotlib
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seaborn
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scipy
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# Deep Learning
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# deep learning
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torchvision
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torchaudio
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transformers
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tensorboard
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lightning
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# For gradient boosting machines (GBMs)
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# all you need is xgboost
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xgboost
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lightgbm
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# For working with text data
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# nlp libraries
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nltk
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spacy
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# For image processing tasks
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# image processing
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opencv-python-headless
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Pillow
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# Jupyter Notebook (remove if you do not use it within the container)
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# data loading
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pyarrow
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# model optimization/experiment tracking
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tensorboard
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wandb
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mlflow
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# utilities
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tqdm
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# notebooks
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jupyter
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ipywidgets
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ipywidgets
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