Machine Learning Course Features


Machine Learning Course Fee in GANGTOK

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


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




The machine learning course in Gangtok provides comprehensive training by providing hands-on training and expert guidance. The global machine learning as a service market was valued at USD 15.47 billion in 2021 and is projected to reach USD 305.62 billion by 2030, growing at a CAGR of 39.3% from 2022 to 2030 according to a Precedence Research report.

DataMites is a well-known institute that enjoys global recognition for its exceptional Machine Learning Training in Gangtok. This extensive course covers essential topics such as Python/R programming, machine learning algorithms, and the practical application of machine learning models. One notable aspect of this program is its accreditation by IABAC, which guarantees that students will receive an internationally recognized IABAC Certification upon successful completion. The training duration spans 5 months, with a total of 400 hours dedicated to learning, including 100 hours of interactive online training. DataMites also offers the flexibility of on-demand offline machine learning training in Gangtok, allowing students to fully immerse themselves in a comprehensive learning experience. Additionally, students gain unlimited access to the data science cloud lab, which enhances their practical skills, and they have the opportunity to work on more than 5 real-world 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 Gangtok which include:

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

Gangtok, the capital city of Sikkim, nestled amidst the Himalayas, offers breathtaking views, vibrant culture, and a serene escape from the hustle and bustle of city life. Gangtok, with its growing technology sector and emphasis on education, presents a promising career scope in machine learning, with dedicated machine learning institutes providing specialized training and opportunities for professionals to contribute to the field and make an impact in the region's technological advancements. DataMites provides comprehensive online Machine Learning training in Gangtok, offering a structured curriculum, abundant study materials, job-focused training, and practice exams for learners. The salary of a machine learning engineer in India ranges from INR 8,57,029 per year according to an Indeed report. Join DataMites for more information regarding the machine learning training course in Gangtok.

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


Machine Learning is a field of artificial intelligence that focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed.

The skills necessary for Machine Learning include a strong foundation in mathematics and statistics, proficiency in programming languages like Python or R, knowledge of data preprocessing and analysis techniques, familiarity with algorithms and model selection, and critical thinking and problem-solving abilities.

Commonly utilized tools in Machine Learning include programming languages like Python and R, libraries and frameworks such as TensorFlow, Keras, and scikit-learn, data visualization tools like matplotlib and seaborn, and platforms like Jupyter Notebook for development and experimentation.

The field of Machine Learning encompasses numerous distinct models, including but not limited to linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks, and clustering algorithms such as K-means and hierarchical clustering.

A Machine Learning expert course typically covers topics such as statistical learning, supervised and unsupervised learning algorithms, deep learning, model evaluation and validation techniques, feature engineering, and practical application of Machine Learning to real-world problems.

Job roles related to Machine Learning include Machine Learning Engineer, Data Scientist, AI Researcher, Data Analyst, Data Engineer, and AI Consultant.

Machine learning training in India typically falls within the price range of INR 70,000 to 1,00,000.

Yes, there is a strong demand for Machine Learning professionals across various industries. With the increasing adoption of data-driven decision-making and the need for intelligent systems, the demand for skilled individuals with expertise in Machine Learning continues to grow.

The three main types of Machine Learning are supervised learning, unsupervised learning, and reinforcement learning.

Machine Learning finds applications in various domains, including but not limited to image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, healthcare diagnostics, and financial forecasting.

KNN stands for K-Nearest Neighbors, which is a non-parametric algorithm used for both classification and regression in Machine Learning. It determines the classification or prediction based on the majority vote or averaging of the k nearest data points in the feature space.

Yes, CNN (Convolutional Neural Network) can be classified as a machine learning algorithm. CNNs are a type of neural network specifically designed for analyzing visual data, such as images, and they are widely used in various computer vision tasks.

Machine Learning has several branches or subfields, including supervised learning, unsupervised learning, reinforcement learning, deep learning, natural language processing, computer vision, and Bayesian learning, among others.

A machine learning algorithm refers to a set of mathematical and statistical techniques or procedures that enable computers to learn patterns from data and make predictions or decisions without being explicitly programmed.

The purpose behind using machine learning is to leverage the power of algorithms and statistical models to analyze and interpret complex data, uncover patterns or insights, automate tasks, make accurate predictions or decisions, and improve efficiency or performance in various domains such as business, healthcare, finance, and more.

View more


DataMites Institute in Gangtok offers advantages such as experienced faculty and an industry-relevant curriculum for their Machine Learning Training Course.

The Machine Learning Training provided by DataMites in Gangtok is worth considering due to its comprehensive content and practical hands-on approach for effective learning.

The training program spans a duration of 5 months, allowing students a total of 400 hours dedicated to learning, including 100 hours of interactive online training.

The machine learning training fee in Gangtok varies based on the chosen learning mode. The available options are INR 60,000 for Live virtual training, INR 36,000 for blended learning, and INR 60,000 for on-demand classroom training.

DataMites offers a range of machine learning courses in Gangtok, encompassing Machine Learning Expert Training, Machine Learning Foundation Training, TensorFlow-based Machine Learning, Python-based Machine Learning Training, and R-based Machine Learning Training.

Individuals with a background in computer science, mathematics, statistics, or related fields are eligible to enrol in the Machine Learning Expert Course provided by DataMites in Gangtok.

DataMites in Gangtok offers Machine Learning courses with placement assistance, helping students secure job opportunities in the field. The DataMites Placement Assistance Team (PAT) provides services such as job connections, interview preparation, resume-building assistance, and mock interviews conducted by industry professionals.

DataMites adopts a comprehensive learning approach that incorporates theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment, ensuring a holistic learning experience for students.

DataMites provides the Flexi-Pass option, which grants participants a 3-month duration to access training sessions. This flexible approach ensures extended support and guidance, allowing individuals to clarify doubts and review concepts as needed.

DataMites offers a complimentary demo class, giving participants an opportunity to experience a preview of the training program and gain insights into what they can expect during the actual training sessions.

Upon successfully completing the Machine Learning training, participants will be awarded the globally recognized and esteemed IABAC® certification, renowned for its industry recognition and credibility.

DataMites offers participants a range of convenient payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal. These flexible payment methods ensure convenience for individuals enrolling in the courses.

In Gangtok, DataMites provides Machine Learning courses through a variety of training methods, including live virtual training, blended learning (a combination of online and classroom training), and on-demand classroom training. This diverse range of options allows learners to choose their preferred mode of learning, providing them with flexibility.

The salary of a machine learning engineer in India ranges from INR 7,77,469 per year according to a PayScale report.

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