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Name: Prathima
Type: User
Company: University of North Texas
Bio: [email protected]
Location: Texas
Name: Prathima
Type: User
Company: University of North Texas
Bio: [email protected]
Location: Texas
This project is about analyzing Suicide Rates globally and various leading cause/methods of suicides using Python and Tableau.
The objective of this project is to build a Binary Logistic Regression model to identify patients with stroke using their health, and socio-demographic data.
The objective of this project is to develop a classification model to identify people with hypertension using their health, demographic, dietary habits, and lab data. For developing the predictive tool, classification models like Logistic Regression, Gradient Boosting, Random Forest, Neural Networks, and Decision Trees have been built and tuned in SAS Enterprise Miner.
The objective of this project is to extract insights from text analysis, that is, analyzing audience mentions in the form of tweets on match during the IPL season using Twitter data.
This project is about predicting the Effective Wart treatment method using Multiple Linear Regression model in SAS
The objective of this project is to perform text mining of restaurant reviews on TripAdvisor. To meet this purpose, I will apply text mining techniques and analyze the restaurant reviews data
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