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The Capstone Milestone Report is an initial analysis of the dataset to have an idea on how the data can/will be used to create a predictive app. The main goal of this report is to do identify some key features of the data that will help with the creation of the predictive algorithm.
Stock Tracker Application Presentation
Presentation for Stock Tracker Application
Presentation for Stock Tracker Application
Presentation for Stock Tracker Application
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Stock App
Regression to select a Car based on MPG
Using hypothesis testing and simple linear regression, we can conslude that there is a signficant difference between the mean MPG for automatic and manual transmission cars. To adjust for other confounding variables such as the weight and quarter mile time (acceleration) of the car, multivariate regression analysis was run to understand the impact of transmission type on MPG. The final model results indicates that weight and quarter mile time (acceleration) have signficant impact in quantifying the difference of mpg between automatic and manual transmission cars.
Analysis of activity monitoring devices such as a Fitbit, Nike Fuelband, or Jawbone
This is the outcome of the analysis performed on the dataset provided in the Coursera Course
Analysis of Storm-led Consequences in the US
This project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. We analize the effects of weather evens in the United States. The the effects under observation are the effect of adverse weather conditions on the population's health and economic. We have answered two questions via this analysis:
1. Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health?
2. Across the United States, which types of events have the greatest economic consequences?