Supervised and unsupervised analysis
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Updated
Dec 20, 2022 - R
Supervised and unsupervised analysis
Supervised and Unsupervised statistical learning techniques applied on Pima Indians Diabetes Dataset
Kmeans Clustering
Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.
Unsupervised approach to discover patterns between NBA compensation and skillsets
Repository containing the final project for the Statistical Learning course at DSSC Master Degree (UniTS)
Partitioning Clustering Analysis of Vehicles Data
Recommendation Engine using R
Implemented a new feature selection algorithm for clustering as part of my master's research.
Clustering helps to understand patterns and groups of similarities, and we will use this method to accomplish determining a good radar.
Using clustering and unsupervised learning to analyze sentiment of online product reviews
Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.
K-Means based Cluster algorithm where I have clustered the data based on (Class distribution: 357 benign, 212 malignant) in the best possible k
A comparison of centroid-based, density-based and hierarchical clustering algorithms
In this project, for supervised learning, I used regression and decision tree techniques to build predictive models and tested model accuracy by evaluating MSE and misclassification cost. For unsupervised learning, I performed cluster analysis on Iris dataset to identify subgroups and I used association rules to analyze transaction details in th…
An exploratory analysis of Chicago community areas.
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
Machine Learning in Finance
Automated pipeline for psuedobulk analysis and downstream unsupervised analysis based on seurat v5
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