Tag: R

Auburn University – Business Analytics Degree

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From Auburn University: “Business and governments need sharp, savvy professionals who can help them manage a potentially overwhelming volume of data and a dizzying rate of creation and provide clarity. Graduates of this program will be able to analyze data and use the findings to guide organizational decision-making, A business analytics degree offers a clear avenue to a fulfilling and financially-rewarding career…. Why Choose Business Analytics at Herbert? Tools of … Continue Reading

Working with R (R Fundamentals)

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From Amazon: “Working with R is the first book in the R Fundamentals series. The book introduces you to the core concepts of R and helps you be effective as soon as you start. It is the first in a series of books that will help you use R to achieve awesome things in your data job.” The book includes the following chapters: About R Why use R? Using RStudio … Continue Reading

Cheat Sheet – 10 Machine Learning Algorithms & R Commands

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From Bytes Cravings: “This article lists down 10 popular machine learning algorithms and related R commands (& package information) that could be used to create respective models. The objective is to represent a quick reference page for beginners/intermediate level R programmers who are working on machine learning related problems…. Following are the different ML algorithms included in this article: Linear Regression Logistic Regression K-Means Clustering K-Nearest Neighbors (KNN) Classification Naive … Continue Reading

Perfect way to build a Predictive Model in less than 10 minutes

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From Analytics Vidhya: ” have created modules on Python and R which can takes in tabular data and the name of target variable and BOOM! I have my first model in less than 10 minutes (Assuming your data has more than 100,000 observations). For smaller data sets, this can be even faster. The reason of submitting this super-fast solution is to create a benchmark for yourself on which you need to improve. … Continue Reading

Essentials of Machine Learning Algorithms (with Python and R Codes)

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From Analytics Vidhya: “Today, as a data scientist, I can build data crunching machines with complex algorithms for a few dollors per hour. But, reaching here wasn’t easy! I had my dark days and nights…. The idea behind creating this guide is to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, I will enable you to work on machine learning problems and … Continue Reading

Bivariate Linear Regression

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from datascience+: “Regression is one of the – maybe even the single most important fundamental tool for statistical analysis in quite a large number of research areas. It forms the basis of many of the fancy statistical methods currently en vogue in the special sciences. Multilevel analysis and structural equation modeling are perhaps the most widespread and most obvious extensions of regression analysis that are applied in a large chunk of current … Continue Reading

Fun With Plotly

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From Len Kiefer: “Plotly enables you to make interactive htlm widgets that you can embed in your webpage or view from within R. I’ve been having a lot of fun converting existing visualizations I have made with ggplot2 into plotly visualizations using ggplotly…. I’m going to include the code and discussion for several graphs I’ve been using. I will use updated data that we used in our Cross talk dashboard. … Continue Reading

R for Excel Users

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This post covers the why and how to switch from Excel to R for managing data and undertaking analysis. It covers the following topics: Four Fundamental Differences Between R and Excel Example: Joining two tables together Interation Generalizing through functions “Excel users have a strong mental model of how data analysis works, and this makes learning to program more difficult. However, learning to program will allow you to do things … Continue Reading

Getting Started with tidyverse in R

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From Storybench: “The tidyverse is a collection of R packages developed by RStudio’s chief scientist Hadley Wickham. These packages work well together as part of a larger data analysis pipeline. To learn more about these tools and how they work together, read R for data science…. The following tutorial will introduce some basic functions in tidyverse for structuring and analyzing datasets.”

Neural Networks from Scratch (in R)

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From Medium: This tutorial: “is for those of you with a statistics/econometrics background but not necessarily a machine-learning one and for those of you who want some guidance in building a neural-network from scratch in R to better understand how everything fits (and how i doesn’t).” The author’s motivations for writing the tutorial are: “Understanding (by writing from scratch) the leaky abstractions behind neural-networks dramatically shifted my focus to elements … Continue Reading