Machine Learning Course Features



Live Virtual

Instructor Led Live Online

S 1,350
S 665

  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring

S 820
S 368

  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training

  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


The following topics are covered in "Machine Learning"


Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies


Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning




A career in machine learning helps you run alongside the digital revolution that we all know is currently happening in almost every sector. Professionals skilled in machine learning have several avenues open to them, from which they can choose the one that interests them the most and pays them according to their skills.

DataMites® is a global leader in data science and machine learning disciplines, providing effective training that meets the needs of the rapidly changing industry. DataMites have offices in India, the United Kingdom, the United States, Saudi Arabia, the United Arab Emirates, South Africa, the Philippines, and other nations. Above all, the International Association of Business Analytics Certification has recognized our courses (IABAC) We promise a fantastic learning experience along your machine learning journey since we've guided over 50k learners.

Why is machine learning an exciting field to kick-start your career?

  1. Immense Career Paths to choose from:  Within the sector, there are several career routes to select from. You can work as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer if you have a background in machine learning.
  2. High Call for ML Specialization: People with machine learning abilities are in high demand and in short supply, which helps explain why these professions are so valuable. Bidding wars for AI talent have been reported, as digital behemoths compete for the best minds in the field.
  3. Get on board and solve real-world problems — In this digital era, businesses confront a slew of problems that machine learning promises to solve. Naturally, a profession that allows you to work and solve real-world problems provides a lot of joy.
  4. Learn and grow - Because machine learning is on the rise, getting into the industry early allows you to see trends firsthand and maintain your market relevance, enhancing the worth of your business.
  5. Take a detour into data science - Machine learning abilities can help you broaden your job options. With machine learning skills, you may wear two hats, one of which is that of a data scientist. Gain experience in both sectors at the same time to become a valuable resource and begin an exciting journey filled with challenges, changes, and information.
  6. Create a successful career - One of the main reasons why many of us consider ML to be a rewarding vocation is the average compensation of an ML engineer. Because the sector is growing, this number is likely to increase in the coming years.

Career progression is exponential. We should realize that machine learning is still in its early stages of adoption, despite everything. However, the future appears to be quite promising. People that are interested in this profession will have no reservations about choosing this selection later in life. Machine learning has a high average pay, making it a rewarding career choice for everyone.

Machine learning professionals will be needed whenever AI systems are used to help enhance the results of that AI technology, and as we discussed in our recent essay on what makes AI so vital, these revolutionary technologies have a wide range of applications.

The most powerful Machine Learning Courses are Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python, all of which will help you comprehend areas that are incredibly popular in today's day and age. The International Association of Business Analytics Certification (IABAC), which has a global reputation, has recognized DataMites® Machine Learning Certification Courses in Singapore. Machine Learning Training from DataMites® is very affordable, and you may get high-quality training in real-time.

We provide 6 monthly Machine Learning Courses in Singapore with Online Machine Learning Training in Singapore that would be imparted within a three-phase learning method.

Phase 1 = It's time to get ready for the upcoming course; candidates will be provided with high-quality self-study videos and materials to help them get to the bottom of the curriculum entirely.

Phase 2 = The main stage of Live Intensive Training, which includes hands-on capstone projects and the IABAC Machine Learning Certification in Singapore, which is a global certification.

Phase 3 = Projects, Internships, and Job Ready Program.

Courses we offer in Machine Learning:

Machine Learning Expert - Machine learning experts must create programs that allow computers to self-learn and generate outcomes without the need for human input. Machine Learning Specialist certifies you as a machine learning, artificial intelligence, and data science expert, as the name implies. The Machine Learning Expert Training will continue for five months.

Machine Learning Foundation - A beginner's course designed to assist newcomers in learning about machine learning. Machine Learning Algorithms, Supervised Learning 1, Supervised Learning II, Unsupervised Learning, and Dimensionality Reduction are some of the subjects covered in this course. The Machine Learning Foundation Courses are intended to be completed over the course of two months.

Machine Learning - Tensorflow - Tensorflow is an open-source artificial intelligence library that uses data flow graphs to build models. For categorization, perception, discovery, prediction, and invention, TensorFlow is frequently utilized. Machine Learning with Tensorflow is a course that will explain to you how to get started with Tensorflow and how to learn more about statistics and build Machine Learning models and algorithms using real-world data. The Tensorflow Machine Learning training curriculum lasts five months.

Python for Machine Learning - Python is a general-purpose programming language that can handle a broad range of sophisticated machine-learning tasks and allows you to easily create prototypes for machine-learning testing. The Python with Machine Learning course teaches you how to build Machine Learning algorithms in Python from the ground up. This course covers Python's role in machine learning, statistics, algorithms, data processing, and more. The DataMites® Machine Learning with Python Training curriculum lasts five months!

The focus on digitization is as intense as it has ever been in 2022. Machine learning and artificial intelligence (AI) assist IT executives and worldwide organizations in surviving the global pandemic with low damage. And the need for people who can apply data science and machine learning approaches is growing.

Singapore is Asia's and the world's leading startup hotspot. Singapore is one of the world's most technologically advanced ICT markets and one of the most wired countries. Singapore is also the hub for start-up businesses. It is also referred to as Asia's Silicon Valley. The DataMites® online machine learning course fee in Singapore is SGD 848.71 whereas now you can get the machine learning course online for just  SGD 425.15.

Pursuing a job in machine learning can help you be a part of the digital transformation we're talking about in industries like healthcare, retail, logistics, and manufacturing. Having machine learning skills makes you a valuable resource in any industry, which means you have a lot of options. As an ML professional, you will have complete control in this manner. If you're interested in pursuing a machine learning career, have a look at our Machine Learning program.

Along with the machine learning course, DataMites also provides data engineer, data analyst course, deep learning, data science, r programming, python training, power bi, tableau, artificial intelligence,mlops and data analytics courses in Singapore.


Machine learning is a subset of artificial intelligence that describes a machine's ability to imitate intelligent human behavior.

Anyone interested in learning Machine Learning, whether a newbie or a seasoned veteran, can enroll. Those who want to get into data analytics or build a profession out of it should take the course.

Depending on the course level and type of training you choose, the cost of Machine Learning Training in the US could range from 162.24 USD to 773.94 USD. The Machine Learning Training Fee in Europe can vary from 152.01 Euro to 725.12 Euro. The Machine Learning Training Fee in India might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.

Machine learning is a big discipline in and of itself, thus candidates should expect to spend roughly 6 months getting proper training in the subject. It may take longer if the person has no prior experience in computer programming, data science, or statistics.

Suppose you want to work in the industry. In that case, the machine learning expert course is the one to take because it qualifies you as an expert in the fields of machine learning, artificial intelligence, and data science by teaching you how to program in the most popular programming languages, such as Python.

Machine learning, data science, artificial intelligence, and related courses are taught at DataMites®. DataMites collaborates with world-renowned Machine Learning professionals to create and deliver a training course. As of today, there are millions of jobs and business prospects in Data Science all over the world, and this number will only grow tremendously in the future years.

Machine Learning will benefit from abilities such as applied mathematics, computer science basics, communication skills, NLP, Neural Networks, and problem-solving.

  • The national average Machine Learning Engineer salary in the United States is USD $1,31,001 per year. (
  • The national average Machine Learning Engineer Salary in the UK is £50,327 per annum. (
  • The national average Machine Learning Engineer Salary in India is INR 8,91,424 per year. (
  • Data scientist
  • Machine learning engineer
  • Machine-learning scientist
  • NLP Scientist
  • Business Intelligence Developer
  • Software Engineer
  • Software Developer
  • Computational Linguist
  • Human-centered Machine Learning
  • Application architect
  • Data Analyst

To function, all businesses rely on data. Machine learning has the ability to dig up the value of corporate and consumer data, enabling businesses to make better decisions and stay ahead of the competition.

Machine Learning has now surpassed almost every business on the earth. There isn't a single industry that doesn't rely on data these days. Machine Learning (ML) has a wide range of applications. It will expand in the near future to include medical, finance, social media, facial and voice recognition, online fraud detection, and biometrics. According to reports, the machine learning market was worth $1.41 billion in 2020 and is predicted to reach $8.81 billion by 2025.

Artificial intelligence (AI) is an area of computer science whose goal is to develop a computer system that can think like a person. It's created out of the phrases "artificial" and "intelligence," which mean "human-made thinking ability" when put together. Machine learning is a type of artificial intelligence, in which artificial intelligence refers to the overall appearance of intelligence, while machine learning refers to the process of machines ingesting data and learning things about the world that humans find difficult.

Python is superior to R since it may be utilized for a variety of applications. It has improved scalability, performance, and integration, among other things. R, on the other hand, is a better choice for data analysis and visualization.

Data science is a field of study that uses a scientific method to extract meaning and insights from data. On the other hand, machine learning refers to a collection of data science techniques that allow computers to learn from data.

It is a type of Artificial Intelligence that allows program applications to predict outcomes with extreme precision. It distinguishes between creating computer programs and assisting machines in memorizing without human intervention. Machine learning, on the other hand, has a promising future ahead of it.

A fresher can get a career in machine learning if he or she learns the necessary abilities. To have a successful career in the machine learning landscape, freshers must prepare how they will perform well and communicate closely with professionals that have significant expertise in the same sector.

Machine Learning is wide-ranging and its applications are infinite. Companies all over the world are searching for machine learning professionals who can be an asset to their companies. Machine Learning certifications can be valuable for your career ahead in this technology-driven world.

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It's no more difficult to learn how to use machine learning than it is to master any other set of programming libraries. The key is to focus on putting the algorithm to work rather than inventing it. Machine Learning, like any other discipline, may be learned easily with the right direction, and it is possible to create a career in it.

The prospects are expanding as artificial intelligence and machine learning become more widely employed around the world and in a wider range of businesses, and Singapore is supporting this as a top priority. Machine learning has been embraced by a range of industries, including transportation, healthcare, finance, manufacturing, advertising, and more!

Machine Learning is a highly sought-after field of study that assures highly lucrative salary packages. Aspirants can enroll at DataMites® for Machine Learning Course, we provide in-depth training for your further career.

The duration of the Machine Learning Course in Singapore is 6 months, totaling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

A machine learning working engineer in Singapore earns roughly S$72,590 per annum, according to Payscale, which is more than any other similar domain.  Whereas, per, an average salary received for an ML engineer is around S$103,273 a year.

No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics, or Computer Science can be highly beneficial.

Machine Learning is one of the best spheres where you can begin your career in. Freshers can enroll in our Machine Learning Foundation Course.

  • DataMites®™ is the global institute for Machine Learning accredited by the International Association of Business Analytics Certification (IABAC).
  • We have more than 25,000 students enrolled in the courses we offer.
  • We provide a three-step learning method. In Phase 1, self-study videos and books will be provided to the candidates to help them get adequate knowledge about the syllabus. Phase 2 is the primary phase of intensive live online training. And in the third phase, we will release the projects and placements.
  • The entire training includes real-world projects and highly valuable case studies.
  • After the training, you will receive the IABAC certification which is a global certification.
  • After completing your training, you will get the chance to do an internship with AI company Rubix, a global technology company.

The DataMites® online machine learning course fee in Singapore is SGD 848.71 whereas now you can get the machine learning course online for just  SGD 425.15.

Although DataMites® offers classroom instruction, it is exclusively available in India. We provide Machine Learning Courses Online in Singapore that is just as effective and engaging as classroom training.

We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.

Our Flexi-Pass for Machine Learning training will allow you to attend sessions from DataMites® for a period of 3 months related to any query or revision you wish to clear.

We will issue you an IABAC® certification that provides global recognition of relevant skills.

If you take the exam online at, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.

Of course, after your course is completed, we will issue you a Machine Learning Course Completion Certificate.

Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.

  • You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
  • In the case of Machine Learning Training Online in Singapore, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.

The course price must be paid in full to reserve your spot for the complete course as well as arrange your certification examinations with IABAC. If you have any unique limits, your DataMites® relationship manager will assist you with part payment agreements.

All certificates can be verified at DataMites®.com using your unique certification number. Alternatively, you may send an email to care@DataMites®.com.

If you take the exam online at, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.

Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.

The DataMites® Placement Assistance Team (PAT) holds career coaching sessions for applicants with the goal of assisting them in recognizing the purpose they will serve once they enter the corporate sector. Students are guided by industry experts through the numerous options accessible in the Machine Learning career, allowing applicants to have a thorough image of their options. They will also learn about the many hurdles they are likely to meet as a newcomer to the industry and how to overcome them.

Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment

Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.

We accept payment through;

  • Cash
  • Debit Card
  • Net Banking
  • Check
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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