A set of python scripts using scikit-learn for simple machine learning applications.
- Simple_gender_classification.py
This script compares and predicts the most accurate model among different existing supervised learning models like (Decision Tree, Stochastic Gradient Descent, Gaussian NB, Support Vector Machines and K Neighbors) on a data set consisting of two variables, one containing the list of height, weight and shoe size, and the other containing respective gender.
Dependencies:
- scikit-learn
- numpy
- scipy