Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
-
Updated
Jun 1, 2024 - R
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
A series of articles to get started into the field of Machine Learning with R language
Data Science courses in R from HarvardX
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
Source code repository for the R package lfe on CRAN.
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
This repository contains R code for exercices and plots in the famous book.
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
📈 Useful notes and personal collections on statistics.
Define, build, and evaluate machine learning models for real-world applications
A Human Resource Analytics project that addresses the question "Why do employees leave?". Also helps us better understand factors for employee satisfaction
🔮 Benchmarking and visualization toolkit for penalized Cox models
Statisitical analysis with R
This project tries to replicate hedge funds returns.
Simple linear regression model implementation in Python and R for to showing the relationship between salary and years of experience.
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
Add a description, image, and links to the linear-regression topic page so that developers can more easily learn about it.
To associate your repository with the linear-regression topic, visit your repo's landing page and select "manage topics."