data-science-snippets

Curated list of python snippets for busy and equally lazy Data Scientists 😄

List of snippets:

• Deep Learning (deep_learning/)

  • keras_biLSTM.py: Keras based example for biLSTM model from data preparation to model initialzation to final training.
  • keras_callback.py: different callbacks in Keras and how to use them.
  • keras_mean_pooling.py: example on how to do mean pooling in Keras.
  • pytorchl_freezeLayers.py: example code to freeze layers using pytorch lightning.
  • pytorch_dataset_dataloader.py: example of how to load and prepare dataset using dataloaders in pytorch.

• Machine Learning (machine_learning/)

  • sklearn_hyperparameter_tune_svr.py: Hyperparameter tuning for SVR regression algorithm from sklearn
  • sklearn_cross_validation.py: cross validation example on pandas dataframe using sklearn function

• Natural Language Processing (natural_language_processing/)

  • finetune_roberta_huggingface.py: fine tune RoBERTa model on text.
  • finetune_bert_huggingface.py: fine tune BERT model on text.
  • pytorchl_BERT_classification.py: perform text classification using BERT model.

• Google colab (google_colab/)

  • connect_to_google_drive.py: connect to google drive using python script
  • download_file_from_google_colab.py : download specific fil from google colab using python script

• Python (python/)

  • add_numpy_array_as_pandas_column.py : transform a numpy array into pandas column
  • get_members_of_object.py: Get list of all modules within a class. Can be used to fetch function list.
  • install_package.py: how to install python packages from python code
  • python_packaging.sh: script to clean, build and publish your python package.
  • virtual_environment.sh: how to create and activate a virtual python environment (linux and windows)

• GIT (git/)

  • git_config.txt: Basic GIT operations to add your username and email id in git config.