CAR Models using Zimbabwe DHS data utilizing R-INLA

This is the presentation that introduces what packages we need for this tutorial

This is a tutorial for CAR models from R utilising BUGS and RINLA

This presentation shows the summary of a text prediction Shiny app. The main objective was to to create an algorithm to predict the next word based on the previous words typed by a user. The app was created using RStudio and Katz Back Off Model

Updated version after peer reviews

This displays how I have been exploring the Data Science Specialization milestone project data. I show different data explorations and creating graphs for different n-grams

This presentation shows the summary of a text prediction Shiny app. The main objective was to to create an algorithm to predict the next word based on the previous words typed by a user. The app was created using RStudio and Katz Back Off Model

A pitch on infectious diseases tweets

The Healthy Tweet Pitch

A app on infectious related tweets

Pitch for tweet about infectious diseases

Assignment on stats!!

This assignment makes use of data from a personal activity monitoring device. This device collects data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012 and include the number of steps taken in 5 minute intervals each day

In this report we aim to show the effect of vitamin C on tooth growth in guine pigs.The report checks on the difference in means of different dosages and supplements given to the guinea pigs. A ttest is used to show whether there is a difference between the two groups. A p-value and the confidence interval of each test is reported. We observed a significance difference in the two supplements orange juice and ascorbic acid for dosage of 0.5mg and 1.0mg. The 2.0mg dosage didnt have a significant difference.

n this report we aim to show whether manual or automatic transmission is better for mile per gallon consumed (MPG). We also intend to quantify the MPG difference between automatic and manual transmissions. A linear regression model with MPG as the outcome is fitted with transmission , weight and horse power used as response variables. We have predicted that the weight of the car was a significant con-founder in our analysis, and the choice of manual or automatic depends on it. We conclude that the cars with a automatic transmission are better for mpg than cars with an automatic transmission.

Prediction of the manner in which a human subject performed a dumbbell (1.25kg) exercise based on accelerometer measurements. Synopsis The goal of this project is to predict the manner in which a human subject did the dumbbell (1.25kg) exercise. We used the “classe” variable in the training set. We created a training and a test data to do the analysis. Our prediction model was build using random forest and classification trees. We also used our model to predict 20 different test cases.

Effects of storm events in USA for reproducible research class project