Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.
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Updated
Nov 17, 2017 - Python
Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
This project intends to solve the house hunt problem by sending the updates of new listings as per the selection criteria of the user by filtering spam in housing listings using NLP. It uses SMTP to send emails, nltk for NLP and tkinter for creating UI
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
Unbalanced data classification
Geolocating twitter users by the content of their tweets
Python code for stacking models, includes extracting model probabilities and assessing misclassified cases
Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices
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