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


Enquire Now


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.

images not display images not display


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




Machine learning skills have become invaluable in various fields, offering abundant opportunities for individuals. Embracing a career in machine learning allows you to actively participate in the ongoing digital transformation across sectors such as healthcare, retail, logistics, manufacturing, and more. DataMites® is a renowned global leader in data science and machine learning education, providing comprehensive training that aligns with the rapidly evolving industry. With offices located in multiple countries including India, the UK, the United States, Saudi Arabia, the United Arab Emirates, South Africa, and the Philippines, DataMites® ensures a top-notch learning experience for over 50,000 learners.

Understanding the significance of pursuing a machine learning course in Boston is crucial. Machine learning is the driving force behind numerous businesses, with the global deep learning market projected to reach $44.3 billion by 2027, growing at a CAGR of 39.2% over the forecast period. Additionally, machine learning offers excellent career prospects, with machine learning engineers in Boston earning an average annual salary of approximately 110,677, surpassing many other domains. (Glassdoor) Furthermore, the field offers recession-proof employment, as machine learning technology continues to thrive.

Machine learning allows you to solve real-time problems, enabling you to tackle complex patterns and process vast amounts of data. If you enjoy overcoming obstacles and addressing real-world issues, a career in machine learning is ideal. The field also offers abundant job openings, as machine learning is being adopted across various sectors. In the US alone, lists over 180,000 machine learning jobs on its website.

To embark on a rewarding machine learning career, it is essential to acquire relevant skills, knowledge, and credentials through a reputable institute. DataMites® Machine Learning Training in Boston provides a rigorous academic context that equips you with the necessary expertise and academic recognition to excel in the competitive market. With the tech sector's significant contribution to the US economy, it has created millions of direct and indirect employment opportunities and positively impacted society. The IT industry, dominated by the US with a market share of over 40%, continues to expand due to technologies like robotic automation, cloud computing, the Internet of Things (IoT), artificial intelligence (AI), machine learning, and 5G.

DataMites® offers powerful machine learning courses in Boston such as Machine Learning Expert, Machine Learning Foundation, Machine Learning with Python, and more. These courses cover areas highly relevant in today's world. The International Association of Business Analytics Certification (IABAC), a globally recognized organization, has endorsed DataMites® Machine Learning Certification Courses in Boston. The training is affordable, and it provides high-quality, real-time instruction. The Machine Learning Courses in Boston are structured in a three-phase learning approach.

Phase 1 involves preparing for the course by providing candidates with high-quality self-study videos and materials to thoroughly understand the curriculum.

Phase 2 is the main stage of Live Intensive Training, which includes hands-on capstone projects and the globally recognized IABAC Machine Learning Certification.

Phase 3 involves projects, internships, and a job-ready program to further enhance practical skills.

DataMites® offers a range of machine learning courses, including Machine Learning Expert for in-depth expertise, Machine Learning Foundation for beginners, Machine Learning with TensorFlow for leveraging the TensorFlow library, and Python for Machine Learning to utilize Python's capabilities in building machine learning models. Each course has a duration of five months or less.

As the worldwide machine learning industry is expected to reach $543 billion by 2023, pursuing a career in machine learning offers immense opportunities. The IT Services industry is projected to generate $411.80 billion in revenue in 2022, and the AI industry is set to be worth $12.5 billion by 2020, further emphasizing the growth potential.

Embarking on a machine learning career in Boston opens up a world of possibilities with a diverse range of job options. Choosing machine learning as a career path aligns with the employment trends of the twenty-first century, making it a lucrative choice alongside data science.

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


Machine learning refers to a subset of artificial intelligence that enables machines to imitate intelligent human behavior.

Individuals with an interest in machine learning, regardless of their experience level, can enroll in a machine learning course. This course is particularly beneficial for those interested in data analytics and aiming to build a career in this field.

The cost of machine learning training varies depending on factors such as the course level and type of training. In the US, the fees can range from $162.24 to $773.94. In Europe, the fees can range from €152.01 to €725.12. In India, the fees can range from 12,578 INR to 60,000 INR.

Machine learning courses can range from 6 to 18 months, depending on the degree or certification program chosen. 6-month courses can provide valuable machine learning experience, which can open up entry-level opportunities at top companies.

For individuals aiming to work in the industry, the machine learning expert course is highly recommended. This course certifies you as an expert in machine learning, artificial intelligence, and data science. It covers programming languages like Python, which are widely used in the field.

DataMites® is renowned for its machine learning, data science, artificial intelligence, and related courses. The institute collaborates with top machine learning professionals to develop and deliver comprehensive training programs. With millions of job opportunities in data science worldwide, DataMites® ensures quality training to meet the growing demand.

To excel in machine learning, having a strong foundation in applied mathematics, computer science basics, communication skills, natural language processing (NLP), neural networks, and problem-solving is beneficial.

The average annual machine learning engineers salary in Boston is approximately 110,677, surpassing many other domains. (Glassdoor)

Upon completing machine learning training, individuals can pursue various job roles such as data scientist, machine learning scientist, NLP scientist, business intelligence developer, machine learning engineer, software engineer, software developer, computational linguist, human-centered machine learning expert, application architect, and data analyst.

Machine learning is valuable for businesses as it allows them to extract insights and make informed decisions based on data. By leveraging machine learning, companies can stay ahead of the competition and enhance their operations and decision-making processes.

Machine learning finds applications in various industries and is indispensable in today's data-driven world. It has applications in fields such as medical, finance, social media, facial and voice recognition, online fraud detection, and biometrics. The machine learning market is expected to reach $8.81 billion by 2025.

Artificial intelligence is a broader field of computer science that aims to develop computer systems capable of human-like thinking. Machine learning is a specific technique within artificial intelligence that focuses on machines learning from data and acquiring knowledge without explicit programming.

Python is generally considered superior to R due to its versatility and applicability to various domains. It offers better scalability, performance, and integration capabilities. However, R excels in data analysis and visualization, making it a suitable choice for those specific tasks.

Data science is a discipline that applies a scientific methodology to extract valuable insights and significance from data. Within the broader field of data science, machine learning is a specialized area that focuses on utilizing specific techniques to enable computers to learn from data and make informed predictions or decisions based on that acquired knowledge.

Machine learning is a powerful technology that enables accurate predictions and autonomous learning by computer systems. It holds immense potential and is expected to have a promising future in various industries and applications.

Fresher's can secure machine learning jobs by acquiring the necessary skills and knowledge. To excel in this field, they should focus on learning from experienced professionals and actively engage with the machine learning community.

Machine learning training is crucial as it equips individuals with the skills required in a technology-driven world. With companies seeking machine learning professionals, obtaining relevant certifications and training can significantly enhance career prospects in this field.

View more


Learning Machine Learning is not more difficult than mastering any other set of programming libraries. The key is to focus on practical implementation rather than inventing algorithms. With the right guidance and approach, Machine Learning can be easily learned, leading to potential career opportunities.

Boston offers a thriving job market for machine learning professionals, given its status as a prominent startup and IT hub. There are numerous job prospects in various industries, including finance, healthcare, technology, and more, making it an attractive location for those pursuing careers in machine learning.

Learning Machine Learning is not more difficult than mastering any other set of programming libraries. The key is to focus on practical implementation rather than inventing algorithms. With the right guidance and approach, Machine Learning can be easily learned, leading to potential career opportunities.

To learn Machine Learning in Boston, you can enroll in the Machine Learning Course provided by DataMites®. The course offers comprehensive training to equip you for a successful career in the field.

The Machine Learning Course in Boston has a duration of 6 months, comprising 120 hours of training. Training sessions are available on both weekdays and weekends, allowing flexibility to choose according to your availability.

No, a postgraduate degree is not mandatory for Machine Learning training in Boston. However, having prior knowledge in subjects like Mathematics, Statistics, Economics, or Computer Science can be highly beneficial.

For beginners, the Machine Learning Foundation Course offered by DataMites® is highly recommended. It provides a solid starting point for a career in Machine Learning.

DataMites® is a globally recognized institute for Machine Learning, accredited by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, DataMites® offers a comprehensive three-step learning approach, including self-study materials, live online training, real-world projects, and case studies. Upon completion, you receive a globally recognized IABAC certification and have the opportunity to intern with AI company Rubix.

The online Machine Learning course fee at DataMites® in Boston is $ 790. However, there is currently a special offer available, allowing you to enroll in the course for just $634.

DataMites® currently offers classroom training exclusively in India. However, the online Machine Learning training provided by DataMites® is equally effective and engaging, ensuring a high-quality learning experience.

DataMites® is committed to providing trainers who are certified, highly qualified, and possess decades of industry experience in the subject matter. Trainers are selected based on their expertise and ability to deliver effective training.

Flexi-Pass in Machine Learning training allows you to attend sessions from DataMites® for a duration of 3 months. It provides flexibility for queries and revision.

Upon successful completion of the training, DataMites® will issue you an IABAC® certification, which is globally recognized and validates your relevant skills.

Upon taking the online exam at, you will receive immediate results. Following IABAC guidelines, the issuance of e-certificates usually takes 7-10 business days.

Yes, after completing the Machine Learning course, DataMites® will provide you with a Course Completion Certificate.

After the completion of the course, DataMites® offers dedicated support through their Placement Assistance Team (PAT) to assist students in finding suitable job placements.

DataMites® accepts payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and 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.

View more





popular career ORIENTED COURSES


HELPFUL RESOURCES - DataMites Official Blog