# Topic: R

This page features most recent and most popular posts on R.

### Latest posts on R

- Simple & Intuitive Ensemble Learning in R - Dec 2, 2020Read about metaEnsembleR, an R package for heterogeneous ensemble meta-learning (classification and regression) that is fully-automated.
- Top 6 Data Science Programs for Beginners - Nov 20, 2020Udacity has the best industry-leading programs in data science. Here are the top six data science courses for beginners to help you get started.
- Behavior Analysis with Machine Learning and R: The free eBook - Oct 22, 2020Check out this new free ebook to learn how to leverage the power of machine learning to analyze behavioral patterns from sensor data and electronic records using R.
- KDnuggets™ News 20:n40, Oct 21: fastcore: An Underrated Python Library; Goodhart’s Law for Data Science: what happens when a measure becomes a target? - Oct 21, 2020fastcore: An Underrated Python Library; Goodhart's Law for Data Science and what happens when a measure becomes a target?; Text Mining with R: The Free eBook; Free From MIT: Intro to Computational Thinking and Data Science; How to ace the data science coding challenge
- Text Mining with R: The Free eBook - Oct 15, 2020This freely-available book will show you how to perform text analytics in R, using packages from the tidyverse.

### Most popular (badge-winning) recent posts on R

- Text Mining with R: The Free eBook
**[Silver Blog]**This freely-available book will show you how to perform text analytics in R, using packages from the tidyverse. - Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science
**[Platinum Blog]**Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence. - Wrapping Machine Learning Techniques Within AI-JACK Library in R
**[Silver Blog]**The article shows an approach to solving problem of selecting best technique in machine learning. This can be done in R using just one library called AI-JACK and the article shows how to use this tool. - Python for data analysisâ€¦ is it really that simple?!?
**[Silver Blog]**The article addresses a simple data analytics problem, comparing a Python and Pandas solution to an R solution (using plyr, dplyr, and data.table), as well as kdb+ and BigQuery solutions. Performance improvement tricks for these solutions are then covered, as are parallel/cluster computing approaches and their limitations. - Time Series Classification Synthetic vs Real Financial Time Series
**[Silver Blog]**This article discusses distinguishing between real financial time series and synthetic time series using XGBoost. - Python and R Courses for Data Science
**[Silver Blog]**Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career. - Plotnine: Python Alternative to ggplot2
**[Silver Blog]**Python's plotting libraries such as matplotlib and seaborn does allow the user to create elegant graphics as well, but lack of a standardized syntax for implementing the grammar of graphics compared to the simple, readable and layering approach of ggplot2 in R makes it more difficult to implement in Python. - Data Science for Managers: Programming Languages
**[Silver Blog]**In this article, we are going to talk about popular languages for Data Science and briefly describe each of them. - Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS
**[Gold Blog]**Data science jobs continue to grow in 2019, and this report shares the change and spread of jobs by software over recent years. - What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem
**[Silver Blog]**We identify the 6 tools in the modern open-source Data Science ecosystem, examine the Python vs R question, and determine which tools are used the most with Deep Learning and Big Data. - Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis
**[Gold Blog]**Python continues to lead the top Data Science platforms, but R and RapidMiner hold their share; Almost 50% have used Deep Learning tools; SQL is steady; Consolidation continues. - How to correctly select a sample from a huge dataset in machine learning
**[Silver Blog]**We explain how choosing a small, representative dataset from a large population can improve model training reliability. - R vs Python for Data Visualization
**[Gold Blog]**This article demonstrates creating similar plots in R and Python using two of the most prominent data visualization packages on the market, namely ggplot2 and Seaborn. - Who is a typical Data Scientist in 2019?
**[Gold Blog]**We investigate what a typical data scientist looks like and see how this differs from this time last year, looking at skill set, programming languages, industry of employment, country of employment, and more. - Running R and Python in Jupyter
**[Silver Blog]**The Jupyter Project began in 2014 for interactive and scientific computing. Fast forward 5 years and now Jupyter is one of the most widely adopted Data Science IDE's on the market and gives the user access to Python and R - Understanding Gradient Boosting Machines
**[Silver Blog]**However despite its massive popularity, many professionals still use this algorithm as a black box. As such, the purpose of this article is to lay an intuitive framework for this powerful machine learning technique. - Data Science Projects Employers Want To See: How To Show A Business Impact
**[Silver Blog]**The best way to create better data science projects that employers want to see is to provide a business impact. This article highlights the process using customer churn prediction in R as a case-study. - Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools
**[Silver Blog]**We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields. - SQL, Python, & R in One Platform
**[Silver Blog]**No more jumping between applications. Mode Studio combines a SQL editor, Python and R notebooks, and a visualization builder in one platform. - Apache Spark Introduction for Beginners
**[Silver Blog]**An extensive introduction to Apache Spark, including a look at the evolution of the product, use cases, architecture, ecosystem components, core concepts and more. - From Data to Viz: how to select the the right chart for your data
**[Silver Blog]**We offer an interactive, decision tree-style tool, which examines the data you have and proposes a set of potentially appropriate visualizations to represent your dataset.