A set of Machine Learning classification projects using R.
Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
Logistic Regression for prediction of beta carotene concentration
Develop a logistic regression model and a CART model to predict diabetes outcome
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