Housing value predictive model (Using US official datasets to build predictive model by using excel)
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Updated
Dec 27, 2022
Housing value predictive model (Using US official datasets to build predictive model by using excel)
Introduction to the R programming language.
A research project on road condition detection using accelerometer and gyro sensors. The goal is to determine the accuracy of detecting road conditions by augmenting accelerometer readings with gyro sensor data.
Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.
This project aims to analyze the Grammy award data to understand the trends and patterns in the award distribution among young and old artists. The objective is to determine if the claim that judges are inclined to give the Grammy to old artists is true or false.
how to perform t-testing & ANOVA
A classwork example in which R / R Studio is used to review production data for insights to help a manufacturing team
Running various statistical tests with R and R-studio to analyze manufacturing specifications and ensure lot integrity
University towns have their mean housing prices less effected by recessions. Running t-tests, along with extensive use of SciPy and NumPy to compare the ratio of the mean price of houses in university towns the quarter before the recession starts compared to the recession bottom from Zillow (housing property research data site).
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