This report represents the initial analysis and scope of a project to create a text prediction application. The corporate partner for this project is SwiftKey, which builds a smart keyboard that makes it easier for people to type on their mobile devices.

Use LIME and H2O for automatic and interpretable machine learning Build Classification Models with AutoML Explain and Interpret the Model Predictions using LIME

The application serves as a enhancing tool for pdf reading by digesting all the text present in the document and returning friendly visualizations on trends, emotions and matching features. The scope is to alleviate the discovery phase of many pdf documents by simply loading and visualize the content.

Italy snapshot of the Covid-19 spread within a month timeframe

Six young health participants were asked to perform one set of 10 repetitions of the Unilateral Dumbbell Biceps Curl in five different fashions: exactly according to the specification (Class A), throwing the elbows to the front (Class B), lifting the dumbbell only halfway (Class C), lowering the dumbbell only halfway (Class D) and throwing the hips to the front (Class E). The goal of the project is to predict the manner in which they did the exercise. This is the “classe” variable in the training set. You may use any of the other variables to predict with.

The assignment is to study how income varies across college major categories. Specifically answer: “Is there an association between college major category and income?”

The 1st part will investigate the exponential distribution in R and compare it with the Central Limit Theorem taking into consideration the distribution of averages of 40 exponentials, throughout thousand simulations.

Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern.