Customer Segments - Machine Learning Nanodegree from Udacity
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Updated
Oct 15, 2018 - HTML
Customer Segments - Machine Learning Nanodegree from Udacity
Exploratory Data Analysis for HR dataset
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 set of useful tools for machine learning projects
Sonification of multivariate datasets - SuperCollider, Electron, React-Redux
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.
Animated Scatterplot Matrices
A collection of working snippets used for machine learning related tasks.
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
Data Visualizations
Python scripts for visualizing multivariate datasets in combined cross-correlation & color-coded scatterplot matrices.
Fruit Count prediction using its shape and size using Machine Learning
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
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