Understanding emotions from audio files using neural networks and multiple datasets.

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Sentiment analysis on customer reviews using machine learning and python

Tool demonstrating building credit risk models

A collection of statistical methods

Created a model to enable face recognition on a dataset from AT&T laboratories Cambridge. The images were taken at a different time and with varying lights, with different facial expression (open/closed eyes, smiling/not smiling) and with/without glasses.

Flexible utility functions for use with the sklearn library

This repository contains functions to produce summary reports for machine learning solutions.