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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Advanced Azure ML Studio Training with R Integration

Microsoft Azure Machine Learning Studio (classic) is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. In this advanced course, you will learn to integrate this tool with R programming language to take advantage of the function and libraries in R. Also learn complex models and functions like decision tress, recommender systems, text mining and time series analysis.

Course Highlights

  • Integration with R programming language
  • Performing machine learning with R libraries
  • Building recommender systems
  • Text mining with word clouds
  • Sentiment Analysis
  • Time series analysis
  • Forecasting with time series

Funding and Grant Applications

No funding is available for this course

Course Code: C1071

Course Booking

$298.00 (GST-exclusive)
$318.86(GST-inclusive)

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1: R integration with ML studio

  • R integration
  • Execute R script module
  • Create R model module
  • Classification/Regression with decision tree
  • Create R model trainer script
  • Create R model scorer script
  • Evaluation script

Topic 2: Building a Recommender System

  • What is recommender system
  • Recommender Syetem
  • Movie Lens Recommender
  • Recommender split
  • Score recommender
  • Evaluate recommender

Topic 3: Text Mining

  • What is text mining
  • Extract key phrases
  • Entity recognition
  • Wordcloud
  • Sentiment

Topic 4: Time Series Analysis

  • What is time series analysis
  • Application of time series
  • Components of time series
  • Smoothing time series
  • Forecasting with ARIMA
  • Anomaly detection

Course Admin

Prerequisite

This course is the intermediate level. Basic Azure ML and R are required. You might consider taking the following basic Azure ML and R courses 

Software Requirement

Please download and install the following software prior to the class

Who Should Attend

  • Data Scientists
  • Machine Learning Engineers

Trainers

Azure ML TrainerDwight Nuwan Fonseka have a degree in Biotechnology (from NUS) ,Advanced diploma in Pharamceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

Azure ML TrainerRaaj has 14 years of experience in Designing , delivering and supporting, products, projects and programs in the area of enterprise SAP and Data Science . He is certified in SAP ABAP,HANA and ACTA certified as well .

He has also trained many consultants and developers on Data Science, R programming, Python, SAP HANA, BI and related products and worked extensively in Asia ( Singapore, Bhutan, Vietnam, India, Myanmar ). His core specialization skills are R programming, Python, Azure Machine Learning, SAP HANA.

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