Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.
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Updated
Jan 12, 2019 - R
Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.
Empirical Comparison of Regression Methods for Variability-Aware Performance Prediction. Эмпирическое сравние регрессионных методов для предсказания производительности конфигурируемых систем
As part of a group project, I developed separate regression models using R to predict the daily number of batteries and robberies in Chicago using four different datasets. I tested interactive and second-order terms and used stepwise feature selection to find the best model with the given data. I tested several potential models using cross-valid…
Exploratory Data Analysis of Resume Names Dataset using R visualization packages
This repository contains reproducible research on an epidemiological model for understanding COVID-19 spreading rates, as part of the DTU Data Science course 22100: R for Bio Data Science
In this project, an analysis of the investment process of the investor will be carried out. Data exploration, Data manipulation, Analysis of the investment process, Analyze the time until the first investment and Invest retention analysis
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
census data analysis of Robeson county in NC, analyzing household income, race distribution, etc
Data cleaning and visualisation functions in R
Grouping pupils according to the performance at two intermediate examinations
Analyses and advanced visualisations
Sample data of Indian Domestic flights operated between march and june of 2019 was explored. Machine learning models that predicts the cost of the ticket was built.
Statistics project in R about time spent, relating data to current and past issues. Our data source is the OWID website where we collected data from the data tables.
Collocates retriever and Collocation association measure
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