Muhammad Tahir's Projects
An activity tracking application.
Python Script to send/receive messages to/from Amazon SQS queue.
Applied Text Mining in Python
A Django based web app to schedule appointments for the doctor.
Using Javascript Aysynchronously
An awesome README template to jumpstart your projects!
Student and Teacher Portal.
Cricket website holding statistics of some international cricketers built using PHP, HTML & CSS.
Flask web application to split/merge CSVs.
Github Portfolio
Projects done in the Data Engineering Nanodegree by Udacity.com
Data analysis on Behavioral Risk Factor Surveillance System (BRFSS) dataset. The Behavioral Risk Factor Surveillance System (BRFSS) is a collaborative project between all of the states in the United States (US) and participating US territories and the Centers for Disease Control and Prevention (CDC). The BRFSS is administered and supported by CDCβs Population Health Surveillance Branch, under the Division of Population Health at the National Center for Chronic Disease Prevention and Health Promotion. BRFSS is an ongoing surveillance system designed to measure behavioral risk factors for the non-institutionalized adult population (18 years of age and older) residing in the US. The BRFSS was initiated in 1984, with 15 states collecting surveillance data on risk behaviors through monthly telephone interviews. Over time, the number of states participating in the survey increased; by 2001, 50 states, the District of Columbia, Puerto Rico, Guam, and the US Virgin Islands were participating in the BRFSS. Today, all 50 states, the District of Columbia, Puerto Rico, and Guam collect data annually and American Samoa, Federated States of Micronesia, and Palau collect survey data over a limited point- in-time (usually one to three months). In this document, the term βstateβ is used to refer to all areas participating in BRFSS, including the District of Columbia, Guam, and the Commonwealth of Puerto Rico.
Data analysis on The General Social Survey (GSS) dataset using R. The General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Logging in Django using AWS Cloudwatch
A Django CRUD APIs with unit test and static typing.
A revision to django framework.
A project to integrate SEPA stripe payments with Django.
Practicing hands-on experience on docker and docker-compose.
A python service to push data periodically in a Docker container.
A portal to conduct survey related to energy crisis.
MemCachier Django usage example
A building service website using Django.
An complete Flask application template, with useful plugins.