Machine Learning Course Features


Machine Learning Course Fee in DISPUR

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 machine learning course in Dispur provides an opportunity to expand the student's skills and knowledge in AI with hands-on training and expert guidance. The global machine learning market size was USD 15.84 billion in 2022 and is expected to reach a value of USD 11341.54 billion in 2032 and register a revenue CAGR of 44% according to the EINPress Wire report.

DataMites, a globally renowned institute offers highly regarded Machine Learning Training in Dispur. This comprehensive course covers essential subjects like Python/R programming, machine learning algorithms, and the deployment of machine learning models. Notably, the course holds accreditation from IABAC, guaranteeing students a globally recognized IABAC Certification upon successful completion. The training program extends over a period of 5 months, involving 400 hours of dedicated learning, including 100 hours of interactive online training. DataMites also provides the flexibility of on-demand offline machine learning training in Dispur, enabling students to immerse themselves in a comprehensive learning experience. To further enhance their practical skills, students are granted unlimited access to the data science cloud lab and are presented with the opportunity to work on more than 5 live projects.

DataMites offers specialized courses such as:

  1. Machine Learning Expert Training
  2. Machine Learning Foundation Training 
  3. Machine Learning- Tensor Flow 
  4. Machine Learning with Python Training 
  5. Machine Learning with R Training

DataMites provides an all-encompassing set of key features for its Machine Learning Training in Dispur, which include:

  1. Faculty and Ashok Veda as Lead Mentor
  2. Course Curriculum
  3. Global Certification
  4. Flexible Learning
  5. Live client project
  6. Internship Opportunity
  7. Placement assistance and Job references
  8. Affordable pricing and Scholarships.
  9. Resume Preparation
  10. Hardcopy Learning materials and books
  11. DataMites Exclusive Learning Community

Dispur is the capital city of the Indian state of Assam, known for its administrative significance and cultural heritage. The main challenge in pursuing a machine learning career lies in the availability of specialized job opportunities and a well-established ecosystem, including a dedicated machine learning institute in Dispur, to support research and development in the field, requiring individuals to actively seek out relevant opportunities and resources. DataMites offers online Machine Learning training in Dispur with a comprehensive syllabus, study material, job training, and mock tests to enhance the learning experience. According to the Ambition Box report, the salary of a Machine Learning Engineer in India ranges from INR 6.2 per year. Join DataMites for more information about the Machine learning training course in Dispur.

Along with machine learning courses, DataMites also provides artificial intelligence, deep learning, data analytics training, IoT, data analyst, data engineer, mlops, tableau, python, data mining, python for data science and data science courses in Dispur.


Machine learning is a field of artificial intelligence that focuses on developing algorithms and statistical models that enable computers to learn and make predictions or decisions without being explicitly programmed.

Essential skills for machine learning include programming (e.g. Python, R), statistics and mathematics, data preprocessing, feature selection and engineering, model evaluation, and algorithmic understanding.

Commonly used tools in machine learning include Python libraries like scikit-learn, TensorFlow, and PyTorch, as well as programming environments such as Jupyter Notebook and IDEs like PyCharm.

There are numerous different models in machine learning, including linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), naive Bayes, k-nearest neighbours (KNN), and various types of neural networks.

A machine learning expert course typically covers topics like data exploration and visualization, supervised and unsupervised learning algorithms, model evaluation and selection, deep learning, natural language processing (NLP), and hands-on project experience.

Job roles associated with machine learning include machine learning engineer, data scientist, AI researcher, data analyst, research scientist, and AI consultant.

The cost of machine learning training in India typically ranges between INR 70,000 and 1,00,000.

There is a high demand for machine learning professionals globally, including in India, as organizations across various industries are increasingly adopting AI and ML technologies to gain insights, automate processes, and improve decision-making.

The three main types of machine learning are supervised learning (where the model learns from labeled data), unsupervised learning (where the model discovers patterns and structures in unlabeled data), and reinforcement learning (where the model learns by interacting with an environment and receiving rewards or penalties).

Machine learning has a wide range of uses and applications, including but not limited to predictive analytics, image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, and personalized medicine.

Yes, CNN (Convolutional Neural Network) is a type of machine learning algorithm commonly used for image and video processing tasks, specifically designed to automatically and adaptively learn spatial hierarchies of features from input data.

Branches of machine learning include supervised learning, unsupervised learning, reinforcement learning, deep learning, transfer learning, generative models, and more, each focusing on different aspects and techniques within the field.

A machine learning algorithm refers to a specific method or procedure used to train a model on a dataset and make predictions or decisions. It includes a set of mathematical formulas, rules, or instructions that enable the model to learn from data and improve its performance over time.

Machine learning is used to solve complex problems, make predictions, extract insights from large datasets, automate processes, improve decision-making, and create intelligent systems that can learn and adapt to new information or situations.

RNN (Recurrent Neural Network) is a type of machine learning algorithm commonly used for sequential data analysis, such as natural language processing and time series prediction. It is designed to handle sequential dependencies and can retain information from previous steps in the sequence.

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DataMites Institute in Dispur offers several advantages for a machine learning training course, including experienced trainers, a comprehensive curriculum, hands-on projects, flexible learning options, and industry-recognized certifications.

The machine learning training provided by DataMites in Dispur is highly recommended due to its practical approach, industry-relevant content, expert trainers, career support, and the opportunity to gain real-world experience through projects and case studies.

The training program extends over a period of 5 months, involving 400 hours of dedicated learning, including 100 hours of interactive online training.

The machine learning training fee in Dispur varies depending on the learning mode. It is priced at INR 60,000 for live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.

The machine learning training fee in Dispur varies depending on the learning mode. It is priced at INR 60,000 for live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.

DataMites in Dispur offers a range of machine learning courses, including Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.

The Machine Learning Expert Course offered by DataMites in Dispur is open to individuals with a background in computer science, mathematics, statistics, or related fields, making them eligible for enrollment.

DataMites follows a comprehensive learning approach in Dispur, which encompasses theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment. This approach ensures a well-rounded learning experience for students.

DataMites offers a Flexi-Pass option, allowing participants to access training sessions for a duration of 3 months. This option provides extended support and guidance, enabling individuals to address doubts, review concepts, and enhance their learning experience.

DataMites provides a free demo class to give participants a glimpse into the training program and an overview of what they can expect during the training sessions.

Upon successful completion of the Machine Learning training, participants will receive the prestigious IABAC® certification, highly regarded globally for its industry recognition and reputation.

DataMites offers multiple payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), PayPal, ensuring convenient payment methods for participants.

DataMites provides Machine Learning courses in Dispur utilizing diverse training approaches, including live virtual training, blended learning (a mix of online and classroom training), and on-demand classroom training. This ensures learners have the flexibility to select their preferred learning mode according to their convenience.

According to the Ambition Box report, the salary of a Machine Learning Engineer in India ranges from INR 6.2 per year.

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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