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


In - Person Classroom Training


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 48-Hour Classroom Sessions
  • 20 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance


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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




The world is on the brink of a technological revolution with Machine Learning at the helm, transforming how we live and work. Recognizing the vital role of this innovative field, DataMites proudly presents our comprehensive Machine Learning Courses in India. With the industry's market size anticipated to expand to US$2.73 billion in 2023 and a staggering growth rate leading to US$10.44 billion by 2030, there's never been a better time to dive into Machine Learning. Especially considering the surge of over 13,000 Machine Learning Openings in India, we believe it's crucial for aspiring professionals to embark on this journey now.

You can get started in the world of Machine Learning with DataMites’ rich selection of courses, each designed to cater to different levels of expertise and interest. 

  1. Accredited by IABAC and NASSCOM FutureSkills, our programs offer a global certification that is recognized industry-wide. 

  2. Our faculty, including the esteemed Ashok Veda, brings unparalleled expertise from the highest academic echelons and industry experience. 

  3. We offer a bundle of courses in Machine Learning; Machine Learning Expert Course, Machine Learning Foundation Course, Tensorflow, and language-specific tracks with Python and R.

  4. Our machine learning training in India span a comprehensive 5-month journey with 350 learning hours. 

  5. You'll tackle 20 capstone projects, engage in a real-world client project, and benefit from an enriching machine learning internships in India

  6. We don't just educate; we guide you to your next career with machine learning placement assistance in India, personalized resume workshops, interview preparation, and job updates.

Datamites provides offline machine learning courses across multiple cities, including Bangalore, Bhubaneswar, Chennai, Nagpur, Kochi, Ahmedabad, Pune, Mumbai, Delhi, Hyderabad, Kolkata and Vijayawada.

The global landscape of the Machine Learning Industry is vast and full of potential. Professionals who master this discipline are in high demand across various sectors, capable of devising solutions that can learn and adapt. With DataMites’ Machine Learning courses, you’re not just learning algorithms; you’re preparing to be part of a workforce that will drive innovation and growth in the years to come.

As the digital landscape evolves, so does the importance of relevant, cutting-edge certification. DataMites' Machine Learning Certification in India is your gateway to not just a job, but a career that's at the forefront of technological innovation. With our seasoned instructors, comprehensive curriculum, and steadfast placement assistance, you're not just learning—you're preparing to lead in the field of Machine Learning.


Machine Learning is a branch of artificial intelligence focused on enabling machines to learn from data, make decisions, and predict outcomes without explicit programming.

Machine Learning is accessible to all, from beginners to advanced practitioners. It is particularly beneficial for those aiming to delve into data analytics or carve out a career in this field.

Machine Learning course fees in India, the range is from ₹30,000 to ₹60,000, depending on the course's complexity and the type of instruction.

Dedicating about six months to Machine Learning training is standard. This period could extend for individuals new to computer programming, data science, or statistics.

The Machine Learning expert course is highly regarded as it equips individuals with expert-level knowledge in machine learning, AI, and data science, including programming skills in languages like Python.

DataMites is recognized for its comprehensive courses in Machine Learning, AI, data science, and more, designed in collaboration with leading experts in Machine Learning.

Skills beneficial for Machine Learning include applied mathematics, foundational computer science knowledge, communication, understanding of NLP and Neural Networks, and problem-solving capabilities.

The average salary for a Machine Learning Engineer in India, the average is INR 10,00,000 per annum. (Glassdoor)

Machine Leaning Job Roles in India include Data Scientist, Machine Learning Engineer, NLP Scientist, Business Intelligence Developer, Software Engineer, Computational Linguist, and several others.

Machine Learning harnesses data to empower businesses to make informed decisions, optimizing operations and gaining competitive advantages.

Machine Learning's applications span various sectors, including healthcare, finance, social media, security, and biometrics, with its market value set to grow substantially in the coming years.

Yes, with the right skills and knowledge, even freshers can embark on a Machine Learning career, though networking with experienced professionals in the field is advisable.

Machine Learning training is pivotal as it opens doors to a multitude of applications and job opportunities in a tech-driven global market.

Machine learning, a subset of artificial intelligence, empowers software applications to forecast results with remarkable accuracy. Rather than crafting programs manually, it enables machines to learn from data autonomously. Looking ahead, machine learning indeed has a bright and promising future.

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For those interested in delving into the field of Machine Learning, which promises excellent salary prospects, enrolling in comprehensive courses like those offered at DataMites can be a beneficial step. This institution provides extensive training to equip you for a successful career.

The Machine Learning Courses in India spans over a period of 6 months, comprising 120 hours of educational sessions. These sessions are scheduled on both weekdays and weekends, offering flexibility for participants to choose according to their convenience.

A Machine Learning Engineer Salary in India can anticipate an annual salary around INR ?10,00,000, which is in line with the national average for this profession in India. (Glassdoor)

For those just starting out, a foundational course in Machine Learning is an excellent choice to kickstart your career in this dynamic field.

DataMites stands out as a globally recognized institution for Machine Learning, endorsed by the International Association of Business Analytics Certification (IABAC). With an impressive enrollment of over 25,000 students, the institute offers a structured three-phase learning approach. Initially, students receive self-study materials to familiarize themselves with the subject matter. The second phase involves intensive live online training sessions. Lastly, the institute provides practical exposure through project work and placement opportunities. The curriculum encompasses hands-on projects and case studies that are highly relevant to the industry. Upon completion, participants earn a globally acknowledged IABAC certification and have the opportunity to intern with Rubixe, an international AI technology firm.

The investment for Machine Learning Training in India varies, typically ranging between 12,578 INR and 60,000 INR. This variation is based on the complexity of the course and the type of instructional method you opt for.

Yes, DataMites extends machine learning classroom training in India, as well as in select Indian cities including Pune, Hyderabad, and Kochi. Additionally, we are open to organizing such sessions in other areas subject to sufficient demand and participant numbers from a specific locality.

At DataMites, we are committed to ensuring that your learning experience is led by only the best in the field. Our trainers are selected based on a stringent criterion that includes certification, extensive industry experience spanning several decades, and deep expertise in Machine Learning concepts.

DataMites caters to a variety of learning preferences by offering different training formats. These include instructor-led live online machine learning training in India, self-paced learning, and traditional classroom settings. You are free to choose the mode that best aligns with your learning style and schedule.

The Flexi-Pass by DataMites is a special offering that allows you to participate in any relevant Machine Learning sessions for a duration of three months. This pass is particularly beneficial for revisiting complex topics or clarifying doubts post the initial training period.

Upon successful completion of your Machine Learning training, DataMites awards you with the IABAC® certification. This certification is internationally recognized and showcases your acquired skills in Machine Learning. It adds significant value to your professional profile in the global job marketplace.

Certainly. You are required to bring identification documents such as a National ID card or a Driving License. These are necessary for the issuance of your participation certificate and for registering for the certification exam as needed.

There's no cause for concern if you miss a session. You should contact your instructors to inform them and arrange for a makeup class at a time that suits you. For online Machine Learning Training in India, each session is recorded and made available, allowing you to catch up at your convenience.

Indeed, we provide a complimentary demo class. This session is designed to offer you an overview of the training approach and content, helping you make an informed decision about enrolling in the course.

The full payment of the course fee is generally required to secure your place in the course and to facilitate your certification exam arrangements with IABAC. However, should there be exceptional circumstances, your DataMites relationship manager can discuss possible installment plans with you.

Absolutely, your full comprehension of the course material is our priority. If you need further clarification on any topic, feel free to request an additional support session.

You can choose from a variety of payment methods, including:

  • Cash
  • Online Bank Transfer
  • Cheque
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • MasterCard
  • 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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