machine-learning

Introduction

In this repo, I'm trying to create end to end notebooks covering different data science concepts. I'll update this doc as I further build this repository.

Sections

tutorials

This section covers tutorial notebooks on the following topics:

• Python: Pandas for data science
• Python: Numpy, Regex, and python hacks
• Bokeh sample examples
• seaborn exhaustive examples
• Analyzing network data using networkx
• Network visualization
• Geovisualization
• KNN from scratch
• Model selection and evaluation
• Algorithms: Sort, Search, Stacks, Queues, LinkedList, Binary Tree
• K-means from scratch

eigen-faces

Eigenfaces is the name given to a set of eigenvectors when they are used in the computer vision problem of human face recognition.The eigenfaces themselves form a basis set of all images used to construct the covariance matrix. This produces dimension reduction by allowing the smaller set of basis images to represent the original training images. Classification can be achieved by comparing how faces are represented by the basis set. Wikipedia

I have tried to find eigenfaces for my fellow batchmates in MSAN (USF) and my professors.

slides

This section has slides on some of my academic projects:

• Semi-supervised Learning
• Deep-Odds : Soccer betting portfolio manager