CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
Unsupervised Machine Learning analysis on Spice Girls Tidy Tuesday week 51 data.
This repository includes my project to cluster the Mexican provinces/states based on a development model that I developed using several social and economic indicators.
Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…
A quick reference guide for creating prediction models using R caret.
'Tissue-level flammability testing: A review of existing methods and a comparison of a novel hot plate design to an epiradiator design', by Joe Celebrezze, Indra Boving, and Max Moritz
Customer Segmentation done by Clustering, with dimensional reduction with PCA
It consists of base machine learning algorithms and applied mathematics has Involved
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
These are the codes for a blog post on Principal Component Analysis (PCA).
📙 End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.
Some introductory data science projects, along with code and documentation. Of course, these projects are university projects.
US University admissions data has been analysed using multivariate techniques
Learn main contents ML
used the 'Breast Cancer Wisconsin (Diagnostic) Database', as source for the ML model, to predict if a cancer is either Benign or Malignant, based on many features.
Project - Creating customer segments | Unsupervised learning | Python | PCA | Gaussian Mixture Model
Udacity Machine Learning Engineer Nanodegree Unsupervised Learning Project: Creating Customer Segments
Add a description, image, and links to the pca topic page so that developers can more easily learn about it.
To associate your repository with the pca topic, visit your repo's landing page and select "manage topics."