Data has 25 features which may predict a patient with chronic kidney disease Kaggle : https://www.kaggle.com/colearninglounge/chronic-kidney-disease Problem Statement: The data was taken over a 2-month period in India with 25 features ( eg, red blood cell count, white blood cell count, etc). The target is the 'classification', which is either 'ckd' or 'notckd' - ckd=chronic kidney disease. Use machine learning techniques to predict if a patient is suffering from a chronic kidney disease or not.
Medical Terminology used
High Multicollinearity
24 features (11 numeric, 14 nominal)
Binary classification
Challenging Exploratory Data Analysis
Predicting Pulsar Star
Pulsar candidates collected during the High Time Resolution Universe Survey Kaggle : https://www.kaggle.com/colearninglounge/predicting-pulsar-starintermediate Problem Statement: Pulsars are a rare type of Neutron star that produce radio emission detectable here on Earth. They are of considerable scientific interest as probes of space-time, the inter-stellar medium, and states of matter. Machine learning tools are now being used to automatically label pulsar candidates to facilitate rapid analysis. Classification systems in particular are being widely adopted,which treat the candidate data sets as binary classification problems.
Astronomical Terminology used
Each candidate is described by 8 continuous variables, and a single class variable
Chronic Kidney Disease
Data has 25 features which may predict a patient with chronic kidney disease
Kaggle : https://www.kaggle.com/colearninglounge/chronic-kidney-disease
Problem Statement: The data was taken over a 2-month period in India with 25 features ( eg, red blood cell count, white blood cell count, etc). The target is the 'classification', which is either 'ckd' or 'notckd' - ckd=chronic kidney disease. Use machine learning techniques to predict if a patient is suffering from a chronic kidney disease or not.
Predicting Pulsar Star
Pulsar candidates collected during the High Time Resolution Universe Survey
Kaggle : https://www.kaggle.com/colearninglounge/predicting-pulsar-starintermediate
Problem Statement: Pulsars are a rare type of Neutron star that produce radio emission detectable here on Earth. They are of considerable scientific interest as probes of space-time, the inter-stellar medium, and states of matter. Machine learning tools are now being used to automatically label pulsar candidates to facilitate rapid analysis. Classification systems in particular are being widely adopted,which treat the candidate data sets as binary classification problems.