This project used machine learning models to detect cancer in biopsies with an accuracy of 98%
-
Updated
Feb 4, 2023 - R
This project used machine learning models to detect cancer in biopsies with an accuracy of 98%
Automatic Learning I - Medical Cost Personal (Data Science)
Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
This script demonstrate the functionality of k-nearest-neighbors(knn) algorithm
Using machine learning techniques with Kepler Space Telescope exoplanet search data to train and tune classification models
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
A Data Science Portfolio for potentially interested employers and recruiters.
Contains files submitted for the HarvardX Data Science: Capstone course's "Choose Your Own" project
Add a description, image, and links to the k-nearest-neighbors topic page so that developers can more easily learn about it.
To associate your repository with the k-nearest-neighbors topic, visit your repo's landing page and select "manage topics."