Machine Learning Course Features



Live Virtual

Instructor Led Live Online


  • 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


  • 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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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




Did you know that machine learning skills make you an asset in any field, empowering you to chase a line-up of opportunities? A career in machine learning can help you participate in the digital transformation that is occurring in areas such as healthcare, retail, logistics, manufacturing and more!

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 UK, 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 recognised our courses (IABAC) We promise a fantastic learning experience along your machine learning journey since we've guided over 50k learners.

What makes machine learning an important course to attend?

Machine learning is the wave of the future -  Machine learning is becoming the driving force behind a growing number of businesses. The global deep learning market is expected to reach $44.3 billion by 2027, with a CAGR of 39.2% over the forecast period.

Excellent Career Possibilities - A machine learning working engineer in the USA earns roughly $112,669 per annum, according to Payscale, which is more than any other similar domain.  Even entry-level ML roles in the US can pay up to $94,609 per year on average. The average compensation for an early career ML engineer with 1 to 4 years of experience is $111,966 per year. In the US, a person with 5 to 9 years of experience can earn up to $140,673 per year on average, while a senior professional income is $150,322. (Payscale)

A Job that is Recession-Proof - Machine learning employment is recession-proof since the technology is here to stay. Keep yourself informed on the most recent market and industry developments.

Solve real-time problems - Machine learning can readily tackle a variety of problems that modern businesses confront, such as detecting complicated patterns and processing large amounts of data. If you enjoy conquering obstacles and solving real-world issues, a career in machine learning is for you.

Immense Job Openings - Machine learning is a fascinating subject. Machine learning is being adopted by a wide range of sectors, which implies there are job openings in this field. has over 180,000 machine learning jobs listed on its website in the US alone!

So now you know why you should pursue a machine learning career. Before embarking on highly rewarding employment, obtain a machine learning certification or a degree from a reputable institute to ensure that you have all of the necessary and relevant abilities in this field.

The best approach to build the skills, knowledge and credentials you'll really have to thrive in this competitive market is to study Machine Learning in a rigorous academic context, such as DataMites® Machine Learning Training. Our curriculum gives you all of the skills and knowledge you'll need to start a long-term career as a machine learning specialist, as well as the academic credentials you'll persuade hiring managers that you're ready to put in the time right now.

The tech sector has made a significant contribution to the expansion of the US economy by directly and indirectly creating millions of employment and boosting the country's living standards. It has influenced not just the economy but also society.

Robotic automation, cloud computing, the internet of things (IoT), artificial intelligence (AI), machine learning, and 5G technologies are all boosting the IT industry's continued expansion. With a market share of more than 40%, the IT sector in the United States dominates the worldwide IT market.

Pleasanton is a suburb in the East Bay section of the Bay Area, located in the Amador Valley. Pleasanton is a burgeoning technological hub where a slew of new enterprises is ready to establish themselves.

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 recognised DataMites® Machine Learning Certification Courses in Pleasanton. 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 Pleasanton with Online Machine Learning Training in Pleasanton 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 Pleasanton, which is a global certification.

Phase 3 = Projects, Internships and Job ready Program.

Courses we offer in Machine Learning:

  1. Machine Learning Expert - Machine learning experts must create programmes 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.
  2. 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.
  3. 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 utilised. Machine Learning with Tensorflow is a course that will explain to you how to get started with Tensorflow, as well as 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.
  4. 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!

Machine learning (ML) has been a game-changer, paving the way for the fourth industrial revolution. With certification, you can pass any interview, regardless of how difficult it is. Pursue a career in machine learning and become successful in your employment by preparing to tackle and overcome modern-day obstacles. According to research, the worldwide machine learning industry would be worth $543 billion by 2023!

In 2022, the IT Services industry is expected to generate $411.80 billion in revenue. The AI industry was worth $5 billion in 2015, but it's expected to be worth $12.5 billion by 2020, and that's just the beginning, owing to advancements like Alexa, Siri, and other devices. 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 the United States is supporting this as a top priority.

Pursuing a career in machine learning will open up a world of possibilities, and you will be able to choose from a variety of jobs. If you want to start a career in the field of machine learning, you are on the correct track because, along with data science, it is one of the top employment options in the twenty-first century!

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


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

Anyone interested in learning Machine Learning, whether a newbie or a seasoned veteran, can enrol. 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.

If you want to work in the industry, 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 programme 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-centred 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 utilised 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 visualisation.

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 programme applications to predict outcomes with extreme precision. It distinguishes between creating computer programmes and assisting machines in memorising 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.

Pleasanton is a suburb in the East Bay section of the Bay Area, located in the Amador Valley. Pleasanton is a burgeoning technological hub where a slew of new enterprises is ready to establish themselves. The city's corporate sector still has big names, but waves of startups have given it depth and made it a magnet for IT workers.

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

The duration of the Machine Learning Course in Pleasanton is 6 months, totalling 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 Pleasanton earns roughly $154,812 per annum, according to Glassdoor, which is more than any other similar domain. 
  •  The average salary for a machine learning engineer in Pleasanton is $106,146 per annum, per
  • statistics show that a machine learning engineer in Pleasanton earns an average of  $109,102 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 enrol for 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 Pleasanton is $1752.30 whereas now you can get the machine learning course online for just  $777.82.

Although DataMites® offers classroom instruction, it is exclusively available in India. We provide Machine Learning Courses Online in Pleasanton that are 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 Pleasanton, 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 recognising 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
  • Net Banking
  • Check
  • Debit Card
  • 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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