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Patient Classification using ML (Gradient Decent Method) for determining COVID Mortality Rates
Rutgers Graduate Class: 22:544:634:01 Optimization for Machine Learning Prof. Gurbuzbalaban : Final Course: Project Using data from South Korea in 2020 to determine mortality rates based on age, sex, and location.
Data Analysis and Management Class
Rutgers Graduate Class 22:960:575 Data Analysis and Decision Making Prof. Jones. Assignment - Cleaning up data and basic descriptive statistics
Data Analysis and Visualization Midterm Question 6
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Data Analysis and Visualization Midterm Question 5
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Data Analysis and Visualization Midterm Question 4
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Data Analysis and Visualization Midterm Question 3
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Data Analysis and Visualization Midterm Question 2
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Data Analysis and Visualization - Midterm Question 1
Rutgers Graduate Class 22:960:646 Data Analysis & Visualization
Analysis of Convex Functions
Rutgers Graduate Class: 22:544:634:01 Optimization for Machine Learning Prof. Gurbuzbalaban
Support Vector Machine using Gradient Descent
Rutgers Graduate Class: 22:544:634:01 Optimization for Machine Learning Prof. Gurbuzbalaban
ABI_Class Classification using SVMs
Rutgers Business School Class 22:960:641 Analytics for Business Intelligence *
Observations of Normal Distribution
Rutgers Business School Class 22:960:641 Analytics for Business Intelligence