namakuto Goto Github PK

followers: 3.0 following: 0.0 repos: 17.0 gists: 0.0

Name: Nyasha Makuto

Type: User

Bio: MHSc Epidemiology graduate with a particular interest in the integration of Bayesian statistics with data science.

Location: Canada

Blog: https://www.linkedin.com/in/nyasha-makuto/

Nyasha Makuto's Projects

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

httr-package-for-r-fork

Forked from the original creator. I forked this to experiment with Httr, a http package for R.

jhu-course-10-capstone-project

This is a Shiny app which generates predictive text based on the user's last typed in words, or letters. The source of information for this app uses comes from Twitter.

jhu-course-2-r-programming

First assignment in John Hopkins University's Data Science certificate (via Coursera). This R file creates a function that is able to return the inverse of a matrix.

jhu-course-3-getting-and-cleaning-data

This R file reads in snippets of raw text (i.e., separated parts of a .txt document), combines it into a clean tidy text table file, then outputs this table into one new, clean .txt file.

jhu-course-4-exploratory-data-analysis

These are various plots on U.S. energy usage, created in R.

jhu-course-5-reproducible-research-pt.1

This assignment uses data from a personal activity monitoring device. The device recorded the number of steps taken throughout the day, in 5 minute intervals. Data was collected over 2 months, from an anonymous individual between October and November, 2012. The data came from John Hopkin's University (JHU), as part of their Data Science certificate on Coursera.

jhu-course-5-reproducible-research-pt.2

This is a Markdown report which sums (via barcharts) the health and economic damages caused by various weather events in the U.S. It uses GGplot2, a package in R, to generate the plots.

jhu-course-8-machine-learning

This is a machine learning model I made, which outputs a grade (from "E" to "A") on a human's exercise quality, based upon the human's body movements in the X, Y, and Z axes. This data came from a pre-collected .csv sheet from John Hopkins University.

jhu-course-9-creating-data-products

This is another Shiny app in R which generates some reactive plots/graphics based on user input. This app uses R's default "mtcars" dataset as its source of information.

k-means_thailand

This was a Jupyter Notebook (in Python) to determine if the Facebook pages of 10 Thai fashion and cosmetics retail sellers could be clustered in some way into distinct categories.

knn-on-suv-purchases

A simple K-Nearest Neighbour (KNN) algorithm was run to predict whether a customer would purchase a brand-new SUV from a car dealership or not.

neural-network-california-regression

Regression with mini-batch gradient descent, He-initialized weights, batch normalization, and gradient clipping was done with a 3-layer neural network to predict median house values ($) in the California 1990 census.

sas-sample

This is a sample of some multivariate generalized linear modeling (GLMs) that I did in SAS. I made log-binomial and Poisson models on Canadian Community Health Survey data. NOTE: The outcome was transformed into a binary variable, hence the use of a binomial model.

simple-exploratory-analysis-of-perch-data

This was a basic exploratory analysis I performed on some old data I had from a course in biostatistics. The dataset is very small and simple; the purpose of this project was to simply showcase my data visualization abilities in R.

statistical-analysis-on-operating-vehicle

This repo contains some exploratory data analyses and preliminary multiple linear regression modeling in R that I did on operating vehicle data (100 .csv files).

xgboost-ontario-road-pavement-quality

This notebook (in Python) used eXtreme Gradient Boosting (XGBoost) to predict for good or bad road pavement condition in Ontario. I also performed random search hyperparameter optimization, k-folds stratified cross-validation, and tested what features could be removed from the model without sacrificing its balanced accuracy.

namakuto Goto Github PK

Nyasha Makuto's Projects

Recommend Projects

Recommend Topics

Recommend Org