school

Here is a collection of my most notable class project of my time at Georgia Tech

Machine Learning Summary:

• Analyzed and avoided verfitted data on Logistic Regression, PCA, SVMs, KNN, and NNs, and bagging and boosting techniques
• Measured results with loss functions and gradient descent

Deep Learning Summary:

• Constructed and Compared multiple neural networks
• explored different optimizatoin techniques and preprocessing techniques
• Worked with 3 students to research, experiment, and document on a linear regression, fully connected and recurring neural network model
• The fully connected neural network classified malicious PowerShell scripts with 98.8% accuracy