Customer Segments - Machine Learning Nanodegree from Udacity
Exploratory Data Analysis for HR dataset
Usefull python scripts
This Project is about Data analysis and modeling (Clustering) on the Imtiaz mall electronics dataset using statistical and mathematical techniques and Python programming language.
About The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
User Study (Experimentr) Repository for Animated SPLOMs
A set of useful tools for machine learning projects
Python scripts for visualizing multivariate datasets in combined cross-correlation & color-coded scatterplot matrices.
Passenger data from the Titanic for research purposes as well as to observe the effects of running a Logistic Regression model on the dataset and how a Confusion Matrix checks for validity among output scores.
A collection of working snippets used for machine learning related tasks.
Animated Scatterplot Matrices
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
Data Visualizations
Fruit Count prediction using its shape and size using Machine Learning
Sonification of multivariate datasets - SuperCollider, Electron, React-Redux
Add a description, image, and links to the scatter-matrix topic page so that developers can more easily learn about it.
To associate your repository with the scatter-matrix topic, visit your repo's landing page and select "manage topics."