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This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.
This is a final group project for Computational Biology (CS167) implementing Tempo (http://bcb.cs.tufts.edu/tempo/) on a unique Parkinson's dataset. This project was contributed to equally by Kevin Kapner, Carlos Lopez-Rodriguez, and Qing Zhu.
Repository containing executed real world-real data capstone projects included in the Udacity's ML nanodegree program, on Supervised and Unsupervised machine learning
Analyze the results of the experiment to determine whether the menu changes should be applied to all stores. The predicted impact to profitability should be enough to justify the increased marketing budget: at least 18% increase in profit growth compared to the comparative period while compared to the control stores; otherwise known as increment…
Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world. Airbnb NYC 2019 data contains listing activity and metrics. The dataset has been taken from https:/…
This is analysis done to study the canine species based on the Skull measurements obtained for the different species of the canines. All kinds of multivariate analyses are done on this species.
Each year number of deaths is increasing extremely because of breast cancer. It is the most frequent type of all cancers and the major cause of death in women worldwide. Any development for prediction and diagnosis of cancer disease is capital important for a healthy life. Consequently, high accuracy in cancer prediction is important to update t…
This repository showcases a model that has been developed to support a paediatric consultant that predicts whether a new born baby will be of low birth weight (<2500g) based on various characteristics of the mother.
Understanding and predicting the factors leading to employees leaving and finding relations between them. Also finding the importance of a feature according to ML models.