1. Use scikit-learn to determine which of the predictor columns that you selecte

1. Use scikit-learn to determine which of the predictor columns that you selected (including the Age, Gender, PainType, STPeakSlope, and the other columns of your choosing) most accurately predicts whether or not an individual is likely to have heart disease. How you go about doing this with scikit-learn is up to you as a practitioner… Continue reading 1. Use scikit-learn to determine which of the predictor columns that you selecte

Below, there are train and test sets with archival data from Twitter. A binary l

Below, there are train and test sets with archival data from Twitter. A binary label has been assigned next to each tweet indicating if it is describing/reporting or generally relevant to a world or domestic disaster. The goal here is to develop a monitoring system to turn twitter into a warning system for future disasters.… Continue reading Below, there are train and test sets with archival data from Twitter. A binary l

Write an algorithm for the attached json file that removes the items along with

Write an algorithm for the attached json file that removes the items along with their: followers images popularity from every object in the json file so after running the python script on the json file it should go from this: {“4Cy6TrPbVlo9OP1MTSONo9”: {“external_urls”: {“spotify”: “https://open.spotify.com/artist/4Cy6TrPbVlo9OP1MTSONo9”}, “followers”: {“href”: null, “total”: 54682}, “genres”: [“jawaiian”, “pacific islands pop”], “href”:… Continue reading Write an algorithm for the attached json file that removes the items along with