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.
Course Price at
Discount Price:₹ 17,000You Save: ₹ 3,000 (15% OFF)
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Enroll Now Pay Later Request a BatchMachine 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
We are also providing customized syllabus to the students according to their needs and projects requirements for the cons
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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.
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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.
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97%
Course Completion Rate
Machine Learning Certification Training Reviews
Average Ratings
Activity from April 2018
4.8
Course Reviews
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21,596 ReviewsNirmal
Fresher
Good training institute for learning Machine Learning Certification Training in Singapore. Class timings were flexible. Trainer offered a good insight into the course and provided several sample programs for analysis. Thanks to GangBoard…
Megha
Fresher
I had undertaken Machine Learning Certification Training in Singapore and to start with I had no experience of any programming language. The learning was great due to the Faculty, Mr. Raja. He never trained us and always made us learn mostly by ourselves since Programming can not be taught / Trained. His teaching methodology was simple yet effective and made you explore more! Thank you and best wishes!
Sandeep
Fresher
Hi, I am Sandeep. I Joined Machine Learning Certification Training in Singapore. Classes went good, teaching was excellent understood the concepts very well. Our trainer Ganesh did a good job explained the concepts in an understanding and friendly way. They complete the course as a proper schedule. Thanks, GangBoard and Trainer.
Kokila
Fresher
I attended the Machine Learning Certification Training here. The training was conducted to my utmost satisfaction. The Faculty was good and having an in-depth subject knowledge. He was able to resolve the queries patiently and provide additional required information as well.
Sanjeev
Fresher
Excellent training course in GangBoard. I attended Machine Learning Certification Training in Singapore and gained maximum knowledge in these courses. Do consider this Website for any courses. Classes are taken by experienced staff.
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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