Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
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Updated
Feb 9, 2017 - HTML
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
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
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.
Exploratory Data Analysis for HR dataset
Customer Segments - Machine Learning Nanodegree from Udacity
A set of useful tools for machine learning projects
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
Sonification of multivariate datasets - SuperCollider, Electron, React-Redux
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
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