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A multifaceted, multi-lingual project that aggregates and organizes horse racing data. The data is passed into a machine learning model which attempts to predict the outcome of future horse races.
Analyzing NYC Flights data 2013 using statistical and visualization tools in R, the project majorly hovers around the delay statistics with a nuanced intervention into nearly all the possible factors.
Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.
This project uses various regression models to predict the housing value in California. Experimenting with different models, this notebook explores the differences in performances. Furthermore, we select the best model for this endeavor to wrap it up.
Repository with the supplementary material for the paper "Distinguishing between distributions. The case of the exponential and Lindley distributions".