Lyne Bwana's Projects
Our objective is to detect the presence or absence of brain tumors and to accurately (>90%) classify the type of detected tumor as either a meningioma, glioma or pituitary tumor.
Intro to time series analysis in R
A project as per the fulfilment of the requirements for Data Science Prep at Moringa School.
The main objective of this project is to perform election analysis and fake news detection in Kenya using machine learning .
A version of K-Nearest Neighbors that uses cosine similarity as a distance metric, and classifies MNIST data at almost twice the rate of standard K-NN implementations
HASS CONSULTING COMPANY
This repository contains a python notebook that predicts the outcome of a FIFA tournament.
Application of Supervised and Unsupervised learning using R-programming
Application of different unsupervised learning algorithms in R
Fundamentals of R programming
Config files for my GitHub profile.