Tag: R

A Course for Visualization in R, Taking You From Beginner to Advanced

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From FlowingData: “The point of this course is to remove the guesswork and guide you from beginner up to advanced. I recommend a four-week schedule — 5 to 10 hours per week — but you can learn at your own pace. You start with the basics of R and then jump right into visualization. The focus of the course is all about the how. You work through tutorials and pause to … Continue Reading

Machine Learning Libraries Cheat Sheet

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Organized into an interactive ‘periodic table’, this website collates machine learning libraries for R, Julia, Python, C/C++, Java, Scala, big data, computer vision and natural language processing (NLP), and Lua/JS/Clojure.

Cheatsheet – 11 Steps for Data Exploration in R (with codes)

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“Data Exploration not only uncovers the hidden trends and insights, but also allows you to take the first steps towards building a highly accurate model. Considering the popularity of R Programming and its fervid use in data science, I’ve created a cheat sheet of data exploration stages in R. This cheat sheet is highly recommended for beginners who can perform data exploration faster using these handy codes. All you need to do … Continue Reading

R Reference Card for Data Mining

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This cheat sheet covers the following aspects in data mining in R: Association Rules & Frequent Itemsets Sequential Patterns Classification & Prediction Regression Clustering Outlier Detection Time Series Analysis Text Mining Social Network Analysis and Graph Mining Spatial Data Analysis Statistics Graphics Data Manipulation Data Access Big Data Parallel Computing Generating Reports Interface to Weka Editors/GUIs Other R Reference Cards RDataMining Website, Package, Twitter & Groups

RStudio Cheat Sheets

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“These cheat sheets below make it easy to learn about and use some of our favorite packages.” Data Import Cheat Sheet: “reminds you how to read in flat files…,work with the results as tibbles, and reshape messy data with tidyr. Use tidyr to reshape your tables into tidy data, the data format that works the most seamlessly with R and the tidyverse.” Data Transformation Cheat Sheet: “dplyr provides a grammar … Continue Reading

Learning Path: Your mentor to become a machine learning expert

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From Analytics Vidhya: “Through this learning path, we hope to provide you an answer to this problem. We have deliberately loaded this learning path with a lot of practical projects. You can not master machine learning with the hard work! But once you do, you are one of the highly sought after people around. Since this is a complex topic, we recommend you to strictly follow the steps in sequential … Continue Reading

LeaRning Path on R – Step by Step Guide to Learn Data Science on R

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One of the common problems people face in learning R is lack of a structured path. They don’t know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same time. To create this R learning path, Analytics Vidhya and DataCamp sat together and selected a comprehensive set of … Continue Reading

The SuperDataScience Podcast

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From iTunes: “The goal of the Super Data Science podcast is to bring you he most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big data, visualization, predictive modeling, forecasting, analysis, business processes, … Continue Reading

Demystifying Data Science Conference

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FREE Live Online Conference for Aspiring Data Scientists! September 27, 2017: 10:00 am – 10:00 pm EST Are you data curious? Join more than 25 incredible speakers who will demystify data science, and discuss the training, the tools, and the career path to the “best job in the United States.” Register to be notified of new speakers!

The R-Podcast

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“R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS … Continue Reading