Call +60 3-2711 7241 Email: malaysiacourses@tertiaryinfotech.com

HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

R Machine Learning Training

This R machine learning training course will teach you how to use R to apply powerful machine learning methods and gain an insight into real-world applications. Topics include:

  • R machine learning
  • Supervised and Unsupervised Learning methods
  • Classifications
  • Regression
  • Clustering
  • Neural Networks

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M255

Course Booking

MYR880.00

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

Module 1: Introduction to Machine Learning

  • What is Machine Learning (ML)
  • R packages for ML
  • Installing R ML Packages

Module 2: Datasets

  • Iris Dataset
  • Mtcars Dataset
  • Boston Housing Price Dataset
  • Features 
  • Splitting Datasets for Training/Testing

Module 3: Supervised Learning

  • What is Supervised Learning
  • Performance Metric
  • Decision Tree Classifier
  • Random Forest Classifier
  • Gaussian Navie Bayes (GNB) Classifier
  • Support Vector Machine (SVM) Classifier
  • Logistic Regression Classifier
  • K-Nearest Neighbors (KNN) Classifier
  • Linear Regression: Single and Multivariate, 
  • Variable Selection 
  • KNN Regression

Module 4: Unsupervised Learning

  • What is Unsupervised Learning
  • K-Means Clustering 
  • Hierarchical Clustering
  • Dimensionality Reduction

Module 5: Intro to Neural Network (Optional)

  • What is Neural Network
  • Multi Layer Perceptron

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Marketeers

Prerequisite

Prerequisite

This is a intermediate courser. Participants should have basic knowledge on the following subjects:

  • R

Software Requirement

Pls download and install the following software prior to the class

Trainers

R TrainerDr. Zahra Nazemi has PhD in mathematical statistics from Universiti Putra Malaysia. Her research interests are applied statistics, medical statistics, Bayesian statistics, statistical inference and Software R. She has worked as lecturer in different universities more than 4 years. She also consulted and worked on assignments for parametric and non-parametric analysis, univariate and multivariate regression analysis in various areas such as medical, economics and psychology. Her other skills are knowledge of research methodology, extensive experience with SPSS, AMOS, R and MINITAB and writing and presenting reports. Moreover, she conducted special training program in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques

Data Science TrainerDr. Aanand Verma is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Rattle TrainerTarun Sukhani is an IT executive, educator, author, speaker, data scientist, security expert, agile coach, polyglot coder, and entrepreneur with over 19 years of combined professional experience both in the U.S. and internationally. As a seasoned veteran, my expertise lies in leading teams in the design and delivery of highly scalable, concurrent, and performant enterprise software solutions with budgets of up to $100 million. I am particularly adept at building productive, self-managing agile teams with predictable velocities and delivery timeframes.

Tarun Sukhani is skilled in all phases of the SDLC/ALM, with a solid foundation in Agile (XP, SAFe, Lean, Scrum, Kanban, and Scrumban) and traditional (PMI and PRINCE2) project management frameworks and methodologies.

He is proficient in Big Data/Data Science: Hadoop, Pig, Hive, HBase, Spark, R/Rattle, Cassandra, YARN, Zookeeper, Mahout, SimpleCV, OpenCV

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

Customer Reviews (3)

ExcellentReview by lkk
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very good course for those who already has R background. (Posted on 10/21/2016)
Contents coveredReview by LIM KAH KHENG
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Awaiting for full day course purely on SHINY APPS (Posted on 10/21/2016)
Will RecommendReview by Dwight
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 10/21/2016)

Write Your Own Review

You're reviewing: R Machine Learning Training

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
  • Reload captcha

Tags

Other people marked this product with these Subjects:

Use spaces to separate Subjects. Use single quotes (') for phrases.

You May Be Interested In These Courses