Hierarchical Linear Regression Model building using RStan
Used hierarchical model and linear regression to study how gross horse power and rear axle ratio affect miles per gallon for 10 types of cars
Used hierarchical model and linear regression to study how gross horse power and rear axle ratio affect miles per gallon for 10 types of cars
Study a causal relationship between the birth weights and the risk factors.
Visualize the Broadway data set which contains show information ranging from 1990 to 2016
Build a model that predicts tip amount for a new ride sharing company in NYC based on the New York taxi data.
Implement, evaluate and compare a pair of algorithms for OCR postprocessing based on research papers.
Explores the data set of roughly 25,000 records for males between the age of 18 and 70 who are full time workers to study if African males had wage differenc...
Study a causal relationship between the birth weights and the risk factors.
Build a model that predicts tip amount for a new ride sharing company in NYC based on the New York taxi data.
Carry out model evaluation and selection for predictive analytics on image data
presents an analysis for the recent 5 years data of 10 companies, Apple, Amazon, Bank of America, Facebook, Google, IBM, JP Morgan, Microsoft, Target and Wal...
Used Text Mining techniques to analyze HappyDB dataset and find differences between the reasons that make men and women happy