Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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Updated
Jun 1, 2024 - R
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Misc Statistics and Machine Learning codes in R
Statistical Inference for Unsupervised Learning
A collection of problems solved with machine learning algorithms, using R.
Clustering validation with ROC Curves
Applying unsupervised learning using K-means clustering.
Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023-Customer Segmentation
Using exploratory data analysis and k-means clustering to analyze competitive balance in soccer/football
Customer clustering with k-means and DBSCAN
Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
ALS Functional Rating Scale using K means Clustering (NOTE: This project is in R language, not HTML. Open to View)
ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering
Unsupervised learning using K-Means, Hierarchical, and PAM clustering to establish meaningful marketing segments.
Making Recommendations from Show Rating Data Using PCA & Clustering
This repository contains various assignments that I have done as a part of the Machine Learning course.
🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞
Customer Segmentation using R
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