Classification and clustering texts
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Updated
Sep 13, 2017 - R
Classification and clustering texts
Univariate regression using R
It's a little knowledge base using some scripts that I faced in my professional life.
Advanced Machine Learning course taught at Linköping University. Learned how Machine Learning models can be utilized to solve regression and classification problems within the AI field.
This project aims to predict the number of bikes using regression models., following the CRISP-DM approach
Airline project
The 'Statistical laboratory 2' course at the Institute of Mathematics (University of Wrocław).
As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.
Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.
A compilation of various programming concepts written in R covering the topics listed below
Methodology and code to use social data for forecasting shortage of essential commodities (gasoline/PPE/toilet paper) during disasters like hurricanes and pandemics
Fitting an exchangeable 2-copule model
Comparing the different types of Regression
Multivariate Regression to predict sales of Used Cars
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…
Using MS Excel and R, accurately forecasted total core deposit data from a Richmond Bank. The Holt’s Linear Exponential Smoothing had the overall lowest “Quick and Dirty” MAPE (1.2%), the lowest overall Maximum MAPE (3.49%), and consistently more accurate projections for each of the forecast horizons. Overall, the Unaided, Holts Linear Exponenti…
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