Here is a repository containing some of my machine-learning projects done either through school or at spare time.
Type: Classification
Using 918 rows of real, anonymous patient data to predict whether a patient is at risk of getting a heart disease in the future.
Find the dataset here
Type: Classification
Using Natural Language Processing techniques to tokenize and analyze tweets. This analysis is further used to try to predict whether the tweet tries to signal an emergency or not.
Find the dataset here
Type: Regression
Trying to predict how long a patient will stay at the hospital. Dataset has 100,000 rows.
Dataset provided through private kaggle competition at school.