15 Feb “How New York’s Fire Department Uses Data Mining” and “Bosses Tap Outside Firms to Predict Which Workers Might Get Sick 2”. Getting inspired by the data mining applications describ
Read the following two articles at: “How New York’s Fire Department Uses Data Mining” and “Bosses Tap Outside Firms to Predict Which Workers Might Get Sick 2”.
Getting inspired by the data mining applications described in the articles above, from the following DATA Set: https://www.kaggle.com/datasets/gabbygab/fertility-data-set
Describe the variables in this dataset: https://www.kaggle.com/datasets/gabbygab/fertility-data-set (This dataset is from UCI Machine learning. I’ll add this data set to my profile to help me to improve the accuracy Dataset collected from 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits in UC Irvine machine learning repository which consists of 100 instances and 10 attributes with the class stating normal or altered. The attributes which are identified , which consist of the season, age, childish diseases, accident or serious trauma, surgical intervention, high fevers in the last year, frequency of alcohol consumption, number of hours spent sitting per day, diagnosis.)
Briefly, explain the case and how analytics can improve outcomes
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