Data Science for Business

Prof. Ankur Sinha


1. Clustering

K-means (Slides)

View code     Download data file (City Location Data)

2. Classification

Support Vector Machines (Slides (PDF))

View code     Download data file (Loan Acceptance Data)

View code     Download data file (Multi-commodity Data)

Decision Trees (Slides (PDF))

View code     Download data file (Loan Acceptance Data)

View code     Download data file (Multi-commodity Data)

Naive Bayes

View code     Download data file (Loan Acceptance Data)

Random Forest

View code     Download data file (Loan Acceptance Data)

K Nearest Neighbors

View code     Download data file (Loan Acceptance Data)

3. Principal Component Analysis

Customer data visualization and analysis

View code     Download data file (Customer Data)

Image data compression

View code     Download data file (Image Data in JPG)

4. Neural Network

Multi-layer Perceptron (Slides (PDF))

View code     Download training data file (MNIST Training Data)     Download testing data file (MNIST Test Data)

5. Text Mining

Sentiment analysis of twitter feed using SVM

View code     Download data file (Airline Twitter Feed Data)

Sentiment analysis of twitter feed using Neural Network (Shows overfitting)

View code     Download data file (Airline Twitter Feed Data)

6. Pre-trained Models

YOLO Object Detection System

View code     Download data file (YOLO Files)