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black_friday-sales-dataset-analysis

A retail company wants to understand the purchase behavior of its customers during Black Friday sales to create personalized offers/deals. This project provided actionable insights to assist key business decisions. R programming was used as the software package for carrying out statistical analysis and data visualization.

customer-churn-prediction-modelling

This repository is associated with predicting the exit status of a customer from an organization or a company using independent variables present in the dataset. Hence we are building a classification model using 3 classifiers: Artificial Neural Network, Support Vector Machine and XGBoost ML algorithms and thereby comparing their accuracies. The repository also contains the RStudio code and the dataset.

customer-lifetime-value-prediction

BUSINESS PROBLEM A company wants to know the lifetime value of customers in terms of how much money they will likely bring to the company based on their first few purchase history. GOAL The goal of this project is to build a predictive model that estimates the customer lifetime value (CLV) for new customers using past purchase history of existing customers.

customer-retention-analysis---demographic-segmentation-using-tableau

effects-of-sleep-time-on-general-health-etc

Background From BRFSS Overview 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 CDC’s 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 “state” is used to refer to all areas participating in BRFSS, including the District of Columbia, Guam, and the Commonwealth of Puerto Rico. The BRFSS objective is to collect uniform, state-specific data on preventive health practices and risk behaviors that are linked to chronic diseases, injuries, and preventable infectious diseases that affect the adult population. Factors assessed by the BRFSS in 2013 include tobacco use, HIV/AIDS knowledge and prevention, exercise, immunization, health status, healthy days — health-related quality of life, health care access, inadequate sleep, hypertension awareness, cholesterol awareness, chronic health conditions, alcohol consumption, fruits and vegetables consumption, arthritis burden, and seatbelt use. Since 2011, BRFSS conducts both landline telephone- and cellular telephone-based surveys. In conducting the BRFSS landline telephone survey, interviewers collect data from a randomly selected adult in a household. In conducting the cellular telephone version of the BRFSS questionnaire, interviewers collect data from an adult who participates by using a cellular telephone and resides in a private residence or college housing. Health characteristics estimated from the BRFSS pertain to the non-institutionalized adult population, aged 18 years or older, who reside in the US. In 2013, additional question sets were included as optional modules to provide a measure for several childhood health and wellness indicators, including asthma prevalence for people aged 17 years or younger.

health-analytics-exploring-the-brfss-dataset

This dataset was provided by BRFSS whose objective is to collect uniform, state-specific data acros the 50 states and participating US territories on preventive health practices and risk behaviors that are linked to chronic diseases, injuries, and preventable infectious diseases that affect the adult population. Factors assessed by the BRFSS in 2013 include tobacco use, HIV/AIDS knowledge and prevention, exercise, immunization, health status, healthy days - health-related quality of life, health care access, inadequate sleep, hypertension awareness, cholesterol awareness, chronic health conditions, alcohol consumption, fruits and vegetables consumption, arthritis burden, and seatbelt use. The main survey covered 17 compulsory sections viz record identification, health status, healthy days, health care access, inadequate sleep, hypertension awareness, cholesterol awareness, chronic health conditions, demographics, tobacco use, alcohol consumption, fruits and vegetables, exercise, Arthritis burden, use seatbelts, immunization, HIV/AIDS, and 22 optional modules. This dataset has 491,775 observations with 330 variables. Given that this dataset was collected in all the 50 states and US territories randomly, the results can be generalized to the entire population, however, causality cannot be infered.

iris-classification-using-knn

The main goal of this project is to use machine learning to predict the species of the iris flowers given a set of features. The data description is presented in the data profile section. This is a three-class classification problem because the flowers have three species namely: setosa, versicolour, and virginica.

tutorials

Ipython notebooks for math and finance tutorials

ud120-projects

Starter project code for students taking Udacity ud120

us-birth-records-analysis-

Counts of the total number of male and female births in the United States from 1940 to 2013. Trend analysis of the sex ratio at birth in the United States