General Description:
Introductory Projects:
Iris Data Analysis:
ML Analysis of a the Iris Flowers' Data Set
Customer Segmentation:
ML Model made trained to predict outcomes by comparing input data to clustered data points that have been assigned to seperate groups
Diabetes Dataset:
ML Model that uses Decision Tree Classifier to make predictions and understand the given data
Spam Detector:
ML Model that has been trained through Naive Bayes Neural Network to analyse 5000+ emails used as training data, until the neurons are sufficiently trained to independently predict & classify new incoming emails as 'spam' or 'not spam'.