EncartaLabs

Machine Learning With R

( Duration: 5 Days )

In Machine Learning With R training course, delegates will start by organizing data and then predicting it with the help of various examples. Explore R Studio and libraries, how to apply linear regression, how to score test sets, and plotting test results on a Cartesian plane. They will also use the caret package in R to simplify some of the classification steps. Delegates will also learn hyper-parameter turning, deep learning, and putting models into production through solid, real-world examples.

By attending Machine Learning With R workshop, delegates will:

  • Harness the power of R to build common machine learning algorithms with real-world data science applications
  • Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results
  • Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems
  • Classify your data with Bayesian and nearest neighbour methods
  • Predict values by using R to build decision trees, rules, and support vector machines
  • Forecast numeric values with linear regression, and model your data with neural networks
  • Understand why and how to create test and training data sets for analysis
  • Get to know hyper-parameter tuning by exploring and iterating through parameters
  • Classify your data with Bayesian and nearest neighbour methods
  • Predict values by using R to build decision trees, rules, and support vector machines
  • Forecast numeric values with linear regression, and model your data with neural networks
  • Learn specialized machine learning techniques for text mining, social network data, big data, and more

This Machine Learning With R course is for developers who wish to learn about the ML techniques and how you can implement them in R. Knowledge of R is assumed.

COURSE AGENDA

1

Get introduced to the world of Machine Learning and understand how R fits into the picture

2

Learn R data structures that you can use to manage and understand data

3

Understand the various regression and classification techniques

4

Learn to work with various algorithms to get the job done

5

Evaluate the performance of your models and tweak them to perfection

6

Manipulate data in R efficiently to prepare it for analysis

7

Master the skill of recognizing techniques for effective visualization of data

8

Understand why and how to create test and training data sets for analysis

9

Black Box Methods - Neural Networks and Support Vector Machines

10

Finding Patterns - Market Basket Analysis Using Association Rules

11

Finding Groups of Data - Clustering with K-means

12

Tuning Grids

13

Iterating - Improving our Tuning

14

Multi-layer Perceptron

15

One Hot Encoding and MLP

16

Wrapping Your Model in Shiny

17

Keras - deep learning on the GPU

18

Deploying your model

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 3,500 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 20,000 corporate candidates across india and abroad
  • All our trainings are conducted in workshop mode with more focus on hands On

View our other course offerings by visiting www.encartalabs.com/course-catalogue

Contact us for delivering this course as a public/open-house workshop for a group of 10+ candidates at our venue

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