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cheatsheets

RStudio Cheat Sheets

data-analysis

This repository is created to store statistical analysis of nuance datasets. The objective of this repository is to practice, implement, and develop analytical skills to solve real-world problems. The core of the analytical method is basic to advanced statistics.

new_test_repo1

first test

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

supervised_machine_learning_classification

supervised_machine_learning_regression

This repository is created for practicing how to preprocess datasets and applying Linear Regression, XGBRegressor, Random Forest Regressor, Gradient Boosting Regressor, and other suitable supervised regression methods on datasets.

unsupervised_machine_learning

This repository includes Clustering (Expectation-Maximization, k-means clustering, Hierarchical clustering, Clustering assessment metrics) and Dimension reduction (Principal component analysis, Independent component analysis)