Julia and R Courses
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
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Julia vs Python - Which Should You Learn?
We present the distinctions between Python and Julia to help you simplify the decision-making process so you can get started on advancing or enhancing your career.
Text Data In R Cheat Sheet
Welcome to our cheat sheet for working with text data in R! This resource is designed for R users who need a quick reference guide for common tasks related to cleaning, processing, and analyzing text data. The cheat sheet includes a list of useful functio
T-tests in R Tutorial: Learn How to Conduct T-Tests
Determine if there is a significant difference between the means of the two groups using t.test() in R.
Abid Ali Awan
K-Nearest Neighbors (KNN) Classification with R Tutorial
Delve into K-Nearest Neighbors (KNN) classification with R. Learn how to use 'class' and 'caret' R packages, tune hyperparameters, and evaluate model performance.
Abid Ali Awan
Introduction to Non-Linear Models and Insights Using R
Uncover the intricacies of non-linear models in comparison to linear models. Learn about their applications, limitations, and how to fit them using real-world data sets.
Visualizing Climate Change Data with ggplot2: A Step-by-Step Tutorial
Learn how to use ggplot2 in R to create compelling visualizations of climate change data. This step-by-step tutorial teaches you to find, analyze, and visualize historical weather data.