Election Data Project - Polls and Donors In this Data Project we will be looking at data from the 2012 election. In this project we will analyze two datasets. The first data set will be the results of political polls. We will analyze this aggregated poll data and answer some questions: 1.) Who was being polled and what was their party affiliation? 2.) Did the poll results favor Romney or Obama? 3.) How do undecided voters effect the poll? 4.) Can we account for the undecided voters? 5.) How did voter sentiment change over time? 6.) Can we see an effect in the polls from the debates?

dsci-510-final-project

DSCI-510-Final-Project

enrollment-pathway

LOG IN TO THE ENROLLMENT PATHWAY We have created a virtual checklist to help you complete the important tasks that are essential for your success. To access the checklist, log in to the Enrollment Pathway portal, which you can access once you complete the Admit Coming status on your Admitted Student screen. Then you can begin to move through the New Student Checklist, which can help you with the following tasks: Creating and activating your NetID, the credential used to access all Rutgers programs and systems Signing up for placement testing Being assigned a date for orientation or registration, known as Student Orientation, Advisement, and Registration Day (SOAR) Reaching out to a number of offices within Student Affairs, including the Office of Veteran Affairs, the Office of Disability Services, the Office of Student Health, and the Office of Housing and Residence Life

face-and-digit-classification

Face and Digit Classification

fake_news_detection

Fake_News_Detection

fast-trajectory-replanning

Fast Trajectory Replanning

gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

heartbeatmonitoring

PROBLEM STATEMENT: It is a well known fact that a healthy lifestyle depends on three main factors - diet, sleep and exercise. While diet may be dependent on additional factors like income and availability of different produce, sleep and exercise can and should be controllable. Yet, this is not the case due to the fast paced lives people lead and factors like stress, fatigue and lack of motivation act as barriers. The main problems can be listed as: People only have a limited amount of time on their hands to exercise. People do not have enough resources to get maximum efficiency from each workout session. People are unable to have uninterrupted deep sleep due to stress or unhealthy lifestyle. People do not have the required resources to improve their sleep cycle. People lack motivation to keep up a healthy workout and sleep schedule. People do not have enough incentives to help them maintain a healthy lifestyle. PROPOSED SOLUTION: Our proposed solution is an integration between existing devices in the market like fitbits which monitor heart rate, steps etc and a mobile application to record and visualise user data and give them information on how to improve their lifestyle. Also, the proposed application would use music to regulate heartbeat to provide better workout and sleep cycles and implement machine learning to let the app be unique to each user.

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