A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Geolocating twitter users by the content of their tweets

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 project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats. As email threats grow more sophisticated, accurate detection is critical to ensuring the security and privacy of both individuals and organizations.

Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices

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.

Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.

Unbalanced data classification

Python code for stacking models, includes extracting model probabilities and assessing misclassified cases