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assignment-3-transparency-of-decision-trees

Transparent and Interactive Machine Learning, Assignment 3-Decision tree Transparency

assignment-8-transparency-of-bernoulli-naive-bayes

carnd-helpers

coursework

summer school coursework

dataanalysis

The lecture slides for Coursera's Data Analysis class

dataaspirant_codes

Complete machine learning model codes

database-organisation--storage-manager

This program creates a simple storage manager that can read and write blocks from a file on disk, create files, open files, and close files.

delta_pca_kmeans

Principal Components Analysis & K-means Clustering of Delta Fleet data

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

fma

FMA: A Dataset For Music Analysis

geog30323

Materials for GEOG 30323: Data Analysis & Visualization at TCU

git101

Tutorial on git and GitHub for beginners

google-10000-english

This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

joinsandaggrefunc

This program deals with implementing two kinds of joins namely natural and left inner join. It also implements an aggregate function count(). There is a readme file that explains how the code works and what it does along with a video the shows step by step what is going on and how to go implement this using python.

libact

Pool-based active learning in Python

lyftstarter

Client examples for ACM <> Lyft Hack Night

main

CS579: Online Social Network Analysis at the Illinois Institute of Technology

model-driven-architecture

The goal of this project is to design two different GasPump components using the Model-Driven Architecture (MDA) and then implement these GasPump components based on this design.

multivariate_classification

This repository deals with the process of how to work around a multivariate dataset.

music-recommender-system

Jupyter notebook that shows how to recommend music using ratings of the song. It uses the MSD dataset. The links to the dataset are provided below.

scraping-intro

An Introduction to Scraping

separating-points-by-axis-parallel-lines

We study the problem of separating points in the plane, no two of which have the same or -coordinate using a min- imum number of vertical and horizontal lines avoiding the points, so that each cell of the subdivision contains at most one point. We prove that this problem and some variants of it are NP-complete.

sort-large-files

This code deals with implementing a sorting technique that takes large files and sorts them. The way this code is written, it automatically generates the large file of specified size, breaks it into chunks, sorts each chunk, merges them to form one final sorted file of the same size. For more information on how it is implemented and how to run the code, check the readme file.

takehomedatachallenges

My solution to the book <A collection of Data Science Take-home Challenges>

tourist-application

The purpose of the application “Tourist Assist” is to guide the tourist with regard to the tourist spots in a city. This application allows the user to locate the nearby attractions based on the category the user selects. This cat- egory includes many options such as Gardens, Golf Courses, Mosques, Museums, Parks, Airports, etc. This ap- plication will also let the user pick a place based on the reviews, locate the route (Via Google Maps) and also make reservations in any hotel across the city if required ( Via Expedia ). The user also has an option to rate a place and give feedbacks.

transparency-of-logistic-regression

Transparency of Logistic Regression