1 hours ago 5 **Free R** Programming **Courses** for Data Scientists and ML Programmers. Originally published by Javin Paul on October 8th 2018 48,009 reads. 6. 2. 1. 1. **R** is the second most popular language to learn the new world of Data Science, **Machine Learning**, Deep **Learning**, and Artificial Intelligence. There are very few good quality **courses** and tutorials

Preview / Show more

**Category**: R machine learning libraryShow details

3 hours ago Top researchers develop statistical **learning** methods in **R**, and new algorithms are constantly added to the list of **packages** you can download. 3. **R** is a useful skill. Employers that value analytics recognize **R** as useful and important. If for no other reason, **learning R** is worthwhile to help boost your **r**´esum´e.

Preview / Show more

**Category**: R machine learning examplesShow details

3 hours ago According to CRAN (Comprehensive **R** Archive Network), approximately 8,341 **packages** are available today. The users can install these ML **packages** simply by using the syntax i.e install.**packages** (“Name_Of_**R**_**Package**”). List of a few **R packages** used for **Machine Learning** is given below:-RODBC implements ODBC

Preview / Show more

4 hours ago By using these **machine learning packages**, anyone can build an efficient **machine learning** or data science model. Lastly, **R** is an open-source language, and its **packages** are continually growing. There are many other **machine learning packages** available in the CRAN repository like igraph, glmnet, gbm, tree, CORElearn, mboost, etc. which are used in

Preview / Show more

9 hours ago **Machine Learning** is the most important step in Data Science. **R** provides various **machine learning** facilities to its users. We will discuss some of the important libraries. Furthermore, we will implement these **packages** in our **R** example code. Let us now take a dive into the important **machine learning** tools for the **R** programming language.

Preview / Show more

**Category**: Best machine learning toolsShow details

6 hours ago From Developer to **Machine Learning** Practitioner in 14 Days In this mini-**course** you will discover how you can get started, build accurate models and confidently complete predictive modeling **machine learning** projects using **R** in 14 days. This is a big and important post. You might want to bookmark it. Let's get started. Who Is This Mini-**Course** For?

Preview / Show more

**Category**: E Learning CoursesShow details

9 hours ago **R** resources (**free courses**, books, tutorials, & cheat sheets) Help yourself to these **free** books, tutorials, **packages**, cheat sheets, and many more materials for **R** programming. There’s a separate overview for handy **R** programming tricks. If you …

Preview / Show more

**Category**: Free CoursesShow details

9 hours ago Below, we are showcasing the top 20 best **R machine learning packages**. 1. CARET. The **package** CARET refers to classification and regression **training**. The task of this CARET **package** is to integrate the **training** and prediction of a model. It is one of the best **packages** of **R** for **machine learning** as well as data science.

Preview / Show more

**Category**: E Learning CoursesShow details

9 hours ago Learn the major **R** data structures and how to create stunning data visualizations through **r** code and **r packages**. The **course** offers fun, interactive coding challenges that reinforce your knowledge through real-world exercises. Some of the deeper level learnings in **R** programming tutorial include **R** source code and **R** functions, **R** studio, **R** data

Preview / Show more

**Category**: Online Courses, It CoursesShow details

7 hours ago About: **Machine learning** in **R** or mlr3 **package** e-builds on R6 classes and provides the essential building blocks for **machine learning** workflows. This **package** than an interface to a large number of classification and regression techniques, including **machine**-readable parameter descriptions.

Preview / Show more

**Category**: E Learning CoursesShow details

3 hours ago This list includes both **free** and paid **courses** that can be taken by any beginner and expert level learners. These are not only applicable for **learning** Data Science and **Machine Learning** but equally useful for …

Preview / Show more

**Category**: Online CoursesShow details

Just Now In this step-by-step tutorial you will: Download and install **R** and get the most useful **package** for **machine learning** in **R**. Load a dataset and understand it’s structure using statistical summaries and data visualization. Create 5 **machine learning** models, pick the best and build confidence that the accuracy is reliable.

Preview / Show more

**Category**: E Learning CoursesShow details

1 hours ago The best **Machine Learning Packages** in R include the following : CRAN – Carat **Package**. The caret **package** stands for Classification and Regression **Training**. The grid search method of the carat **R package** searches parameters by combining various methods to estimate the performance of a given model. After looking at all the trial combinations, the

Preview / Show more

**Category**: E Learning CoursesShow details

1 hours ago This first report ranks **R packages** for **machine learning**, and we're hoping to stir the pot a bit and get our colleagues to join the discussion. Our discoveries here aren't final, but rather serve to showcase the depth, and the breadth, of knowledge available to the data science community.

Preview / Show more

**Category**: E Learning CoursesShow details

5 hours ago The **course** Introduction to **Machine learning** (I2ML) is a **free** and open flipped classroom **course** on the basics of **machine learning**. mlr3 is used in the demos and exercises. Templates/Tutorials. mlr3-learndrake: Shows how to use mlr3 with drake for reproducible ML …

Preview / Show more

**Category**: E Learning CoursesShow details

4 hours ago Unlike other **courses**, it offers NOT ONLY the guided demonstrations of the **R**-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY **MACHINE LEARNING** & PREDICTIVE MODELS (K-means, Random Forest, SVM, logistic regression, etc) in **R** (many **R packages** incl. caret **package** will be covered).

Preview / Show more

**Category**: E Learning CoursesShow details

6 hours ago If you’re interested in following a **course**, consider checking out our Introduction to **Machine Learning** with **R** or DataCamp’s Unsupervised **Learning** in **R course**!. Using **R** For k-Nearest Neighbors (KNN). The KNN or k-nearest neighbors algorithm is one of the simplest **machine learning** algorithms and is an example of instance-based **learning**, where new data are classified based on …

Preview / Show more

**Category**: E Learning CoursesShow details

6 hours ago **Machine Learning Packages** in R By Chris Leonard Tweet I've been working on a handful of projects lately, and had started to keep track which **packages** contained the algorithms that I …

Preview / Show more

**Category**: E Learning CoursesShow details

3 hours ago Inspired by **R** and its community The RStudio team contributes code to many **R packages** and projects. **R** users are doing some of the most innovative and important work in science, education, and industry. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing. Managing **Packages** If keeping up with the growing number of **packages** you use is challenging

Preview / Show more

**Category**: Free CoursesShow details

3 hours ago If you are new to **R** and RStudio we recommend you take our Introduction to **R training** first. **Learning** Objectives: On successful completion of this **course**, you should be able to: Briefly introduce the concepts of **Machine Learning** and Linear Regression. Demonstrate the use of the lm () function for creating linear regression models.

Preview / Show more

**Category**: E Learning Courses, It CoursesShow details

3 hours ago Learn **R**, in **R**. swirl teaches you **R** programming and data science interactively, at your own pace, and right in the **R** console! Follow @swirlstats.

Preview / Show more

**Category**: Free CoursesShow details

3 hours ago Top 20 **R Machine Learning** and Data Science **packages**. We list out the top 20 popular **Machine Learning R packages** by analysing the most downloaded **R packages** from Jan-May 2015. By Geethika Bhavya Peddibhotla, KDnuggets. The CRAN **Package** repository features 6778 …

Preview / Show more

**Category**: Computer Science Courses, E Learning CoursesShow details

4 hours ago **R** is the preeminent choice among data professionals who want to understand and explore data, using statistical methods and graphs. It has several **machine learning packages** and advanced implementations for the top **machine learning** algorithms – which every data scientist must be familiar with, to explore, model and prototype the given data.

Preview / Show more

**Category**: E Learning CoursesShow details

8 hours ago 4. **R Packages** by Hadley Wickham **R Packages**. Hadley Wickham has made yet another book available for **free** and this is on how to create your own **R Packages**. Forgot where I read, it went something like this. If you are doing the same thing while programming for three times, you write a function.

Preview / Show more

**Category**: Online Courses, Computer Science CoursesShow details

3 hours ago We will be using sample datasets available in **R** and from **free** online sources, just be sure that your internet is working to download some of the data. Objectives The **course** aims at providing an accessible introduction to various **machine learning** methods and applications in **R**. The core of the **courses** focuses on unsupervised and supervised

Preview / Show more

**Category**: E Learning CoursesShow details

9 hours ago If you have any questions about the **course** content, practice sheet or anything related to any topic, you can always post a question in the **course** or send us a direct message. We aim at providing best quality **training** on data science, **machine learning**, deep **learning** using **R** and Python through this **machine learning course**.

Preview / Show more

**Category**: E Learning CoursesShow details

6 hours ago A Verifiable Certificate of Completion is presented to all students who undertake this **Machine learning** basics **course**.. If you are a business manager or an executive, or a student who wants to learn and apply **machine learning** and deep **learning** concepts in Real world problems of business, this **course** will give you a solid base for that by teaching you the most popular techniques …

Preview / Show more

**Category**: E Learning CoursesShow details

2 hours ago I’m also the Founder & Chief Author of **Machine Learning** Plus, which has over 4M annual readers. I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of **courses** and projects with detailed explanations – just like an on the job experience.

Preview / Show more

**Category**: E Learning Courses, It CoursesShow details

7 hours ago This **course** will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. You will use the **free** and versatile software **package R**, used by statisticians and data scientists in …

Preview / Show more

**Category**: Data Analysis Courses, Health CoursesShow details

5 hours ago Take The **Course** . 13. Structuring **Machine Learning** Projects. This **course** is very hidden in the hundreds of **courses** Coursera provides on **Machine learning**. It is focused on building a successful **machine learning** project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this **course** will show you how.

Preview / Show more

**Category**: E Learning CoursesShow details

7 hours ago Udacity offers this amazing **free course** which “takes **machine learning** to the next level.” Google’s 3-month **course** is not for beginners. It talks about the motivation for deep **learning**, deep neural networks, convolutional networks, and deep models for text and sequences.

Preview / Show more

**Category**: E Learning CoursesShow details

1 hours ago **R Training Course** Online (LinkedIn **Learning**) In this **course** Instructor, Barton Poulson introduces you to the statistical processing language **R**. Commence with installing **R** on your computer before going ahead with the lessons. The lectures cover topics such as reading data from SPSS and spreadsheets and using **packages** for advanced **R** functions.

Preview / Show more

**Category**: Free CoursesShow details

8 hours ago Developers can use these **packages** to create the best pre-model, model, and post-model of the **machine learning** projects. Also, the **packages** for **R** are more advanced and extensive than python language which makes it the first choice to work with **machine learning** projects. Popular **R** Language **Packages** Used to Implement **Machine Learning**. lattice: The

Preview / Show more

**Category**: E Learning CoursesShow details

5 hours ago From one of the oldest resources to one of the newest, Google's **Machine Learning** Crash **Course** (which focuses on using TensorFlow, the company's open source **machine learning** framework) became an instant hit when it was released earlier in 2018.The roughly 15-hour, **free course** consists of 25 lessons, 40 exercises, video lectures from Google researchers and other interactive …

Preview / Show more

**Category**: E Learning CoursesShow details

6 hours ago Tip: for a comparison of deep **learning packages** in **R**, read this blog post.For more information on ranking and score in RDocumentation, check out this blog post.. The deepr and MXNetR were not found on RDocumentation.org, so the percentile is unknown for these two **packages**.. Keras, keras and kerasR Recently, two new **packages** found their way to the **R** community: the kerasR **package**, which was

Preview / Show more

**Category**: E Learning CoursesShow details

7 hours ago Applied **Learning** Project. In taking the Data **Science:** Foundations using **R** Specialization, learners will complete a project at the ending of each **course** in this specialization. Projects include, installing tools, programming in **R**, cleaning data, performing analyses, as well …

Preview / Show more

**Category**: Computer Science Courses, Science CoursesShow details

Just Now The workshop covered the basics of **machine learning**. With an example dataset I went through a standard **machine learning** workflow in **R** with the **packages** caret and h2o: reading in data exploratory data analysis missingness feature engineering **training** and test split model **training** with Random Forests, Gradient Boosting, Neural Nets, etc.

Preview / Show more

**Category**: E Learning Courses, It CoursesShow details

8 hours ago · Having to apply the same pre-processing steps to **training**, testing and validation data to do some **machine learning** can be surprisingly frustrating. But thanks to the recipes **R package**, it's now super-duper easy. Instead of having five functions and maybe hundreds of lines of code, you can preprocess multiple datasets using a single 'recipe

Preview / Show more

**Category**: Online CoursesShow details

1 hours ago Several **R packages** exists that allows loading spatial and spatiotemporal data and which provide structures, validity control and functions. One of the **packages** with the highest number of dependencies is the sp **package**.Vector data is increasingly managed using the sf **package**, and raster data can be imported using the raster and rgdal **packages**.

Preview / Show more

**Category**: Free CoursesShow details

3 hours ago Install **R** and RStudio. **R** and RStudio are two separate pieces of software: **R** is a programming language that is especially powerful for data exploration, visualization, and statistical analysis; RStudio is an integrated development environment (IDE) that makes using **R** easier. In this **course** we use RStudio to interact with **R**. If you don’t already have **R** and RStudio installed, follow the

Preview / Show more

**Category**: Data Analysis CoursesShow details

7 hours ago Recommended **Packages**. Many useful **R** function come in **packages**, **free** libraries of code written by **R**'s active user community. To install an **R package**, open an **R** session and type at the command line. install.**packages**("<the **package's** name>") **R** will download the **package** from CRAN, so you'll need to be connected to the internet.

Preview / Show more

**Category**: Free CoursesShow details

4 hours ago 15 Best **Machine Learning Courses** [2021 OCTOBER] [UPDATED] October 9, 2021 October 16, 2021 FL Editor 218977 Views Trending. 1. **Machine Learning Course** by Stanford University (Coursera) 2. **Machine Learning Course** A-Z™: Hands-On Python & **R** In Data Science (Udemy) 3. Post Graduate AI **Machine Learning** Certificate Program (Purdue University) 4.

Preview / Show more

**Category**: E Learning CoursesShow details

1 hours ago **Machine Learning** with Python. Python (along with **R**) has become the dominant language in **machine learning** and data science. This two-day intensive **course** will equip you with the knowledge and tools to undertake a variety of tasks in a standard **machine learning** analytics pipeline.

Preview / Show more

**Category**: Computer Science Courses, Science CoursesShow details

9 hours ago This is the **course** for which all other **machine learning courses** are judged. This beginner's **course** is taught and created by Andrew Ng, a Stanford professor, co-founder of Google Brain, co-founder of Coursera, and the VP that grew Baidu’s AI team to thousands of scientists.. The **course** uses the open-source programming language Octave instead of Python or **R** for the assignments.

Preview / Show more

**Category**: E Learning CoursesShow details

8 hours ago Intro: what is {tidymodels}. I have already written about {tidymodels} in the past but since then, the {tidymodels} meta-**package** has evolved quite a lot. If you don’t know what {tidymodels} is, it is a suite of **packages** that make **machine learning** with **R** a breeze. **R** has many **packages** for **machine learning**, each with their own syntax and function arguments.

Preview / Show more

**Category**: E Learning Courses, It CoursesShow details

9 hours ago About **Courses**. At Datanovia, 300 000+ visitors come each month for original, high-quality and inspirational contents to learn statistical methods and tools for great data analysis and visualization. We offer data science **courses** on a large variety of topics, including: **R** programming, Data Processing and Visualization, **Machine Learning**

Preview / Show more

**Category**: Free CoursesShow details

**Filter Type**-
**All Time** -
**Past 24 Hours** -
**Past Week** -
**Past month**

- › Jlg Industries Training
- › Learn Linux Free
- › Action Online Training
- › Surge Learning Portal Canada
- › Ibm Cognos Training Online
- › Sap Program Training
- › Remington College Memphis Campus
- › Ham Radio Training Books
- › Carthage Mo Golf Courses
- › Best Occupational Therapy Schools
- › University Of Michigan Golf Club
- › Blackberry Oaks Golf Course Restaurant
- › Coursera Withdraw From Course
- › Online Leadership Coaching
- › Free Online Fire Safety Training
- › Calvert Dog Academy
- › Intensive Italian Course Rome
- › Kansas Restraining Order Laws
**Browse All Products >>**

The caret package provides a consistent interface into hundreds of machine learning algorithms and provides useful convenience methods for data visualization, data resampling, model tuning and model comparison, among other features. It’s a must have tool for machine learning projects in R.

Today’s tutorial will give you a short introduction to deep learning in R with Keras with the keras package: Then, you’ll truly get started with RStudio’s keras package: you’ll learn how to first prepare your workspace and load in built-in datasets, dummy data, and data from CSVs;

dplyr: This R package is used to summarize the tabular data of machine learning with rows and columns. It applies the “split-apply-combine” approach. Esquisse: This R package is used to explore the data quickly to get the information it holds. It also allows to plot bar graph, histograms, curves, and scatter plots.

The machine learning package with R, MICE refers to Multivariate Imputation via Chained Sequences. Almost all the time, the project developer faces a common problem with the machine learning dataset that is the missing value. This package can be used to impute the missing values using multiple techniques.