mlbootcamp_VI

Solutions for ML Boot Camp VI (Logistic Regression, Vowpal Wabbit)

Required at least 16Gb operating memory (for sparse matrix creating and using).

Logistic Regression:

Vowpal Wabbit:

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
README.md		README.md
Simple EDA.ipynb		Simple EDA.ipynb
Sparse 1. Preparing text files.ipynb		Sparse 1. Preparing text files.ipynb
Sparse 2. Creating data.ipynb		Sparse 2. Creating data.ipynb
Sparse 3. Creating additional features.ipynb		Sparse 3. Creating additional features.ipynb
Sparse 4. LogisticRegression.ipynb		Sparse 4. LogisticRegression.ipynb
Vowpal Wabbit 1. Preparing dataset.ipynb		Vowpal Wabbit 1. Preparing dataset.ipynb
Vowpal Wabbit 2. Models and hyperopt optimization.ipynb		Vowpal Wabbit 2. Models and hyperopt optimization.ipynb
dataset_train_shuffled_hyperopt_progress.png		dataset_train_shuffled_hyperopt_progress.png
dataset_train_shuffled_log.log		dataset_train_shuffled_log.log
dataset_train_shuffled_trials.json		dataset_train_shuffled_trials.json
vw-hyperopt.py		vw-hyperopt.py

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