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  1. Regression modelling (Lasso, Ridge, xgboost, SVR) and exploratory analysis of Ames, Iowa dataset. Also contains exploratory analysis of London House prices in Tableau

    Python 6 2

  2. GIS project - Use of geographically weighted regression and k-means clustering in R to investigate patterns of wellbeing in London in 2011. Includes use of shapefiles, spatial data frames and outpu…

    R 2

  3. Predicting if the best and most experienced employees leave prematurely - Kaggle Human Resource Analytics dataset using SVM and Multi Layer Perceptron with backpropagation

    MATLAB 12 26

  4. A number of projects/visualisations built with D3js and Highcharts

    JavaScript 1

  5. Kobe Bryant shot prediction using PCA and the Random Forest model and exploratory analysis in python. Includes a detailed report

    Python 1

  6. this repo contains scripts built in pycharm from coursera course in prep for the google tensorflow dev certification exam

    Python 1 1

216 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri
Activity overview

Contribution activity

May 2021

Created 1 repository
Opened 1 pull request in 1 repository
ryankarlos/geospatial
1 merged

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