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Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Practical Machine Learning Course: Exercise Quality Classification Prediction Project repo, date created 70114
This classifier achieved the following results, "Percent humans misclassified as dogs is 1%. and "Percent of dogs correctly classified is 100%" It is very reliable when it comes to classification of dog breeds.
A prediction model that estimates a city's median home value based on societal variables within the city, such as graduation rates, test scores, median rent and more. The R programming language was utilized for this model and linear regression was the chosen machine learning method.
Assessed how certain characteristics such as number of voter eligible population, number of registered voters and primary voter turnout can help predict general election turn out.