Skip to content

Latest commit

 

History

History
24 lines (20 loc) · 909 Bytes

README.md

File metadata and controls

24 lines (20 loc) · 909 Bytes

GENDER-CLASSIFIER_MLwP (Machine Learning with Python)

The goal is to classify anyone as 'male' or 'female' given just their 'height', 'weight' and 'shoe size' we use scikit-learn package to train first- a decision tree classifier (see: gender-classifier-demo.py) with already existing data set to make it able to predict the gender on it's own given a random set of 'height', 'weight' and 'shoe size Then- we do the same thing but using 4 other classifier models (see:GENDER_CLASSIFIER_USING MULTIPLE MODELS.py) and calculate their accuracy (percentage) using the same data then choose the most accurate model.

DEPENDENCIES

*Scikit-learn
*numpy
*scipy

Classifier Models

*Decision Tree
*SVM-SVC
*Perceptron
*KNeighbors
*Naive_bayes-GaussianNB

Usage

python gender-classifier-demo.py
python GENDER_CLASSIFIER_USING MULTIPLE MODELS.py

or use pyCharm