Ajanthan Mathialagan's Projects
Config files for my GitHub profile.
“Arrests” dataset is based on the police treatment of individuals arrested in Toronto for possession of small amounts of marijuana from 1997 to 2002. The dataset is just a part of a large data set mentioned in a series of articles in the Toronto star. The dataset contains 5226 observations with 8 variables as below.
The dataset contains annual data on the flows of international immigrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous and or next residence both for foreigners and nationals.
The data set I will be using is designed and implemented by the Columbia Photographic Images. This dataset is used in work for the classification of Photographic Images. The Columbia Photographic image set contains 2 specific parts for example 800 of images are from the authors’ personal collections (Personal Columbia) and 400 images from the personal collection of Philip Greenspun (Personal Greenspun). Greenspun’s collection is included in the data set because it is to increase the diversity of the Personal Columbia set following the image content, the camera models and the photographer styles. The Personal Greenspun set are mainly images that have been taken from travels with content such as indoor, outdoor, people, objects, building and many more. Whereas the Personal Columbia set is acquired by the authors using the professional single-len-reflex Canon 10D and Nikon D70. It has content diversity in terms of indoor or outdoor scenes, natural or artificial objects, and lighting conditions of day time, dusk or night time.
This is the Capstone Project for Coursera IBM Data Science Certificate
German Credit Card Data Analysis
Heart Attack Analysis & Prediction Analysis
Capstone Project on the paper by Pang and Stolyar (2016), A service system with on-demand agent invitations.
An Indept analysis on the business on yelp using user recommendations and tips
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent