This jupyter notebook integrates 7 algorithms to create an ensemble approach combining two strategies: stacking and boosting.
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May 20, 2019 - Jupyter Notebook
This jupyter notebook integrates 7 algorithms to create an ensemble approach combining two strategies: stacking and boosting.
This project details the creation of a multi-classification Recurent Neural Network (RNN) model using Tensorflow / Keras to predict Tweet emotions. More specifically, this notebook uses a bidirectional LSTM as a means to capture additional semantics often found in sequential (language) data. This project utilizes the Tweet Emotion Recognition wi…
Contains some useful data science snippets in Kaggle notebooks
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