Machine Learning Course Features



Live Virtual

Instructor Led Live Online

PHP 45,370
PHP 37,610

  • 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

PHP 27,410
PHP 16,767

  • 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




The talent market for artificial intelligence (AI) is exploding right now, which is no surprise. Machine learning's market is anticipated to grow from $21.17 billion in 2022 to $209.91 billion in 2029 at a predicted CAGR of 38.8%. (GlobeNewswire) Due to the rapidly expanding employment opportunities in the sector, machine learning is currently one of the most sought-after professional paths!

DataMites®, a leading global source of training in data science and machine learning, provides effective training that meets the expectations of the industry's rapid shift. With DataMites, training services are provided in a number of nations, including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India. Because we have aided more than 50k pupils, we can guarantee that your machine-learning experience will be enjoyable. The caliber of our courses has also been acknowledged by the International Association of Business Analytics Certification.

The three top machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—all help you better understand subjects that are hugely popular right now. The DataMites® Machine Learning Certification Courses in Philippines have earned the respectable International Association of Business Analytics Certification's seal of approval. DataMites® provides extremely reasonable real-time instruction.

We offer online training in Philippines in addition to three-phase, six-monthly machine learning courses.

Phase 1: To assist applicants in completing the full curriculum and preparing for the following course, they will be provided with excellent self-study videos and resources.

The primary Live Intensive Training phase is Phase 2, which also includes capstone projects that are applicable to the real world and international certifications like the IABAC Machine Learning Certification in Philippines.

Phase 3 of the program consists of the Career Ready Program and projects.

Our machine learning programs in Philippines include:

Expert in Machine Learning - Programmers must enable computers to learn on their own and produce results without requiring human input. The Machine Learning Expert certification verifies your expertise in data science, machine learning, and artificial intelligence. the ongoing, five-month Machine Learning Expert Training course.

Machine Learning Foundation - By enrolling in the Machine Learning Foundation course, beginners can learn about machine learning. Dimensionality reduction supervised and unsupervised learning, and machine learning techniques are all topics covered in this course. The two-month completion goal for the Machine Learning Foundation Courses.

Machine Learning with TensorFlow - With TensorFlow, machine learning is made possible. TensorFlow is an open-source artificial intelligence toolkit that builds machine learning models using data flow graphs. TensorFlow is frequently used to categorize, perceive, discover, anticipate, and be creative. You will learn how to use Tensorflow, improve your statistical knowledge, and create machine learning models and algorithms using real data with the aid of the "Machine Learning with Tensorflow" course. Tensorflow machine learning's five-month training course has.

Machine Learning with Python - Python is used for machine learning Python is a multipurpose programming language that may be used to handle a variety of challenging machine learning tasks and quickly produce machine learning testing prototypes. The Python with Machine Learning course will teach you how to design your own machine learning algorithms. The course introduces students to the uses of Python in data processing, statistics, algorithms, machine learning, and other areas. Enrollments are now being accepted for the five-month DataMites® Machine Learning with Python Training Program.

Machine Learning with R - The world's top data scientists utilize R, a powerful machine learning framework, for machine learning. In this course, you will learn about machine learning basics, data processing for ML, ML algorithms, constructing and training ML models, and a case study from the real world. The five-month DataMites ML training curriculum is built on R.

Regarding the nation's workforce's Technological skills, there is no debate either. The Philippines' economy is growing at the second-fastest rate in the globe. The Philippines is a popular location for tech jobs beyond the apparent labor cost advantages due to its young, educated workforce and English-speaking populace. Depending on the course you participate in, the cost of DataMites® online machine learning courses in the Philippines can range from PHP 13,452 to PHP 40,357.

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 abilities 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 career in Machine Learning, take up DataMites Machine Learning Training in Philippines.

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


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

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 Euros to 725.12 Euros. 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.

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.

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.

 As per, the average salary for a machine learning engineer in the Philippines is PHP 969,547 a year.

  • Software Engineer
  • NLP Scientist
  • Business Intelligence Developer
  • Software Developer
  • Data scientist
  • Computational Linguist
  • Machine learning engineer
  • Data Analyst
  • Application architect
  • Human-centered Machine Learning
  • Machine-learning scientist

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.

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

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.

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.

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.

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.

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.

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.

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.

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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.

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 in the right direction, and it is possible to create a career in it.

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

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

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 Philippines 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!

Depending on the course you participate in, the cost of DataMites® online machine learning courses in the Philippines can range from PHP 13,452 to PHP 40,357.

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

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

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.

  • 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 an AI company.

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

  • 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 Philippines, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

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

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.

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.

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.

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

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

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 accept payment through the;

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

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

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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