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About Machine Learning Certification Online Training

Businesses are envisaging a new future for humans. Through machine learning, they are developing Artificial Intelligent (AI) machines to make decisions without human intervention. They are designed to self-learn and apply the learning all by themselves. From software industry to retail and from financial sector to agriculture sector, everyone are using AI and machine learn gin to advance human civilization. In the machine learning classes, you will learn how to program, learn the computer languages for programming, implement machine learning algorithms, understand deep learning, ethics in AI, and various other tools and techniques related to machine learning. After finishing the course, you will become a professional machine learning programmer. Any of the Fortune 500 or Fortune 2000 companies in Singapore will be ready to hire you. And expect salaries in the range of S$50,000-S$120,000.

Machine Learning Training Course in Singapore will give you comprehensive knowledge of machine learning. From the basics of machine learning to the advanced concepts, you will learn all. What’s more, you will also receive a certification at the end of the course. It is as per industry standards and will increase your job prospects. Live instructors with 4-5 years of experience in teaching machine learning will provide real-time training. You will be able to work on real-world projects with the training institute’s project support. The course provides job oriented training and certification training.

What will you learn in this Machine Learning Training in Singapore?

Machine Learning Certification Training in Singapore will teach you about

  • Machine learning basics
  • Data Science and Deep learning
  • Programming languages like Python, R, Prolog, and Lisp
  • Machine learning frameworks like TensorFlow, Keras, SciKit-Learn, etc
  • Linear regression
  • Logistic regression
  • Machine learning algorithms
  • Supervised learning
  • Unsupervised learning

Further, by completing the course, you will be able to clear exams like

  • SAS AI and Machine Learning Examinations
  • AWS Machine Learning Specialist Exam
  • Microsoft’s MCSA Machine Learning Exam
  • Google Data and Machine Learning Certification Exam
  • IBM Certified Application Developer – Watson

With our course, you can clear more such certification exams that can give a boost to your career.

Objectives of Machine Learning Course in Singapore?

Machine Learning Certification Training Course is also one of the best online machine learning training in Singapore. Apart from imparting knowledge on machine learning, the objectives of the course are

  • To provide placement oriented training
  • To provide certification training
  • To provide job support
  • To make it easy for you to lead a project after joining the job
  • Enabling you to apply the knowledge to solve real-world problems
  • To make you a master machine learning programmer

Who should attend this Machine Learning Training Course in Singapore?

The Machine Learning Course in Singapore is for

What are the prerequisites for learning Machine Learning Training Course?

There are no prerequisites for joining the Machine learning training course in Singapore. Prior knowledge of the following will be beneficial

But do not worry. With 24/7 live support, live online training, and live classroom training you will learn everything about machine learning in the training institute.

What you'll learn from this course?

  • Introduction to Data Analytics
  • Introduction to R programming
  • Data Manipulation in R
  • Data Import techniques in
  • Exploratory data Analysis
  • Basics of Statistics & Linear & Logistic Regression
  • Data Mining: Clustering techniques, Regression & Classification
  • Anova & Sentiment Analysis
  • Data Mining: Decision Trees and Random Forest
  • Project work

Upcoming Batches for Machine Learning Certification Training

Our Machine Learning Online Course gives students the opportunity to take classes on your flexible timings. Choose from a number of batches as per your convenience. If you got something urgent to do, reschedule your batch for a later time. The classes can be attended to at any place and at any time as per your choice.

23-09-2023 Saturday (Saturday - Sunday)Weekend Regular 11:00 AM (IST) (Class 3Hrs) / Per Session 18-09-2023 Monday (Monday - Friday)Weekdays Regular 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session 21-09-2023 Thursday (Monday - Friday)Weekdays Regular 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session

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Machine Learning Certification Training Syllabus

Module 1- Introduction to Data Analytics

Objectives:

  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Topics

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming

Objectives:

  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.

Topics

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R

Objectives:

  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.

Topics

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.

Topics

  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis

Objectives:

  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.

Topics

  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification

Objectives:

  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.

Topics

  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis

Objectives:

  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and mine live data from Twitter to find out the sentiment of the tweets.

Topics

  • Anova
  • Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest

Objectives:

  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.

Topics

  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work

  • 2 Real-time projects

Are you Looking for Customized Syllabus

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Program Features

IT Professionals as Trainers

Learning a technology with a professional who is well expertise in that solve 60% of your needs.

Fully Hands-on Training

We support any training should be more practical apart from theoretical classes. So, we always gives you hands-on training.

Affordable Fees

We are dead cheap in fees. We are having options to make the payment in instalments as well if needed.

10000+ old students to believe

We satisfied 10000+ students from the day we started GangBoard. Take a look of our old student’s video reviews and it says all.

Counselling by Experts

If you are in dilemma to choose a course, we are having experts in counselling team to help you with perfect projection of your career.

Own Course Materials

We have every course material to understand which is prepared by our trainers and we will share with you after session completes.

FAQ

How I can practise?
Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.
No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.
Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.
We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.
You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.
We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.
Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email. Debit Card / Credit Card, American Express, Master Card, or PayPal.
You can reach us through +91-9707240250. Or you can share your queries through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

Machine Learning Exams & Certification

GangBoard Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at GangBoard is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

5000

Total Number of Reviews

4.57

Aggregate Review Score

97%

Course Completion Rate

At the End of our Machine Learning Online Certification Course, you will be assigned to work real-time projects. Once you completed the project with expected results we will verify and issue a globally recognized Machine Learning Course Completion Certificate from GangBoard.

Machine Learning Certification Training Reviews

Average Ratings

Activity from April 2018

4.8 GangBoard Star Rating

Course Reviews

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1596 Reviews

Average Ratings

GangBoard Total Reviews in all Medium

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Additional Info. of Machine Learning Certification Training

Machine Learning job opportunities in Singapore

Singapore is the hub for Artificial Intelligence (AI) development. Driving this technological revolution is the government of Singapore itself. It is collaborating with technology giants to develop AI systems that can deliver citizen services effectively.

Apart from the demand from the government, many IT companies and tech start-ups in Singapore are developing AI systems and products based on them. The demand for machine learning experts is huge in the country.

Our training course with certification is your best bet to become a machine learning professional and land in a high paying job. In Singapore, you can earn anywhere between S$50k to S$120k as a machine learning specialist.

After finishing the course you will receive the following job opportunities

  • A fresh graduate looking for a career in future technologies
  • A software engineer who is looking for a career change
  • Anyone who is looking to upgrade their machine learning technology skills
  • Anyone looking to get a certification
  • Coding knowledge
  • Understanding of MS Excel and Google Sheets
  • Probability, linear algebra, calculus, and Optimizing theory
  • Basic understanding of statistics
  • Machine learning engineer
  • Data Scientist
  • Senior data analyst
  • Machine learning architect
  • Machine learning programmer