Used the naive Bayes algorithm to classify whether a text message is a spam.

I found this database in kaggle, and it was created to identify a voice as male or female, based upon acoustic properties of the voice and speech. The dataset consists of 3,168 recorded voice samples, collected from male and female speakers.

Worked on the data of food products from openfoodfacts.org to identify clusters based on nutritional content.

Worked on a transaction dataset with 371,210 pieces of records from FDMart to mine market basket pattern

Worked on a direct marketing campaigns dataset from a Portuguese banking institution to predict if the client will subscribe a term deposit

Estimating Wine Quality

Predicting Medical Expenses