Machine Learning Course Features


Machine Learning Course Fee in AGARTALA

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 Agartala offers a comprehensive and hands-on learning experience, designed to empower students with the essential skills required to thrive in the dynamic field of machine learning. According to a Fortune Business Insight report, the market size of Machine Learning (ML) worldwide reached $19.20 billion in 2022 and is projected to experience substantial growth, with an estimated value of $26.03 billion in 2023, leading to a significant surge towards $225.91 billion by 2030.

DataMites is a highly reputed institute known globally for its exceptional Machine Learning Training in Agartala. This comprehensive course covers vital topics like Python/R programming, machine learning algorithms, and hands-on implementation of machine learning models. A noteworthy aspect of this program is its accreditation by IABAC, ensuring that students receive an internationally recognized IABAC Certification upon successful completion of the course. The training program extends over a period of 5 months, allowing students 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 Agartala, which can be availed on-demand, allowing students to fully engage in a comprehensive learning experience. To further enhance their practical skills, students are granted unlimited access to the data science cloud lab and 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 Agartala, which include:

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

Agartala, the capital city of Tripura, is a vibrant and culturally rich destination in northeastern India. Agartala offers promising career prospects in machine learning, with a growing demand for skilled professionals in data analysis, artificial intelligence, and predictive modeling, making it an ideal location to pursue your education at a reputable machine learning institute in Agartala. DataMites provides comprehensive online Machine Learning training in Agartala, featuring a well-structured curriculum, study materials, job-focused training, and practice exams, aimed at delivering an exceptional learning journey for those seeking excellence in the field of Machine Learning. 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 Agartala.

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


Machine learning is the field of study that involves teaching computers to learn from data and improve their performance over time without being explicitly programmed.

Skills necessary for machine learning include programming (Python, R), statistics, mathematics (linear algebra, calculus), data preprocessing, data visualization, and critical thinking.

Commonly used tools in machine learning include Python libraries (such as TensorFlow, Keras, and scikit-learn), R programming language, MATLAB, and data visualization tools like Tableau.

There are numerous different models in machine learning, including linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks, and more.

A Machine Learning expert course typically covers topics such as data preprocessing, feature selection, model evaluation, algorithm selection, deep learning, natural language processing, and hands-on projects.

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

The machine learning training cost in India ranges from INR 70,000 to 1,00,000.

Yes, there is a high demand for machine learning professionals as organizations across various industries are increasingly adopting machine learning techniques for data analysis, prediction, and automation.

The three main types of machine learning are supervised learning (where the model learns from labelled data), unsupervised learning (where the model discovers patterns from unlabeled data), and reinforcement learning (where the model learns through trial and error interactions with an environment).

Machine learning is utilized in various ways, including image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, and predictive analytics.

Yes, machine learning involves a significant amount of mathematics, including linear algebra, calculus, probability theory, and optimization algorithms.

Freshers are eligible for job opportunities in machine learning, but having a strong foundation in relevant skills and completing projects or internships can greatly increase their chances of getting hired.

The recommended programming language for machine learning is Python due to its extensive libraries, such as TensorFlow and scikit-learn, that provide powerful tools for implementing machine learning algorithms.

Some commonly used algorithms in machine learning include linear regression, logistic regression, k-nearest neighbours, support vector machines, decision trees, random forests, naive Bayes, and neural networks.

The most popular machine learning algorithms vary depending on the task, but some widely used ones include logistic regression, random forests, support vector machines, gradient boosting methods (like XGBoost and LightGBM), and deep learning algorithms such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

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DataMites Institute in Agartala offers Machine Learning training courses with experienced trainers, a comprehensive curriculum, hands-on projects, and placement assistance, making it a reliable choice for individuals seeking quality education in the field.

Machine Learning training offered by DataMites in Agartala provides practical exposure to industry-relevant concepts, tools, and algorithms, preparing individuals with the necessary skills to excel in the field of Machine Learning and enhance their career prospects.

The course spans over 5 months and 400 learning hours, along with 100 hour-live online training.

The machine learning training fee in Agartala varies based on the learning mode: INR 60,000 for Live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.

DataMites offers other machine learning courses in Agartala are Machine learning expert training, Machine learning foundation training, Machine Learning- Tensor flow, Machine Learning with Python training and Machine Learning with R training.

Anyone with a background in computer science, mathematics, statistics, or related fields is eligible to enrol in the Machine Learning Expert Course offered by DataMites in Agartala.

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.

With the Flexi-Pass option from DataMites, you can avail of training sessions for a period of 3 months, receiving extended support and guidance to address doubts and review concepts as needed.

Yes, DataMites offers a complimentary demo class, providing participants with a preview of the training program and an understanding of what they can anticipate throughout the training sessions.

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

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 offers Machine Learning courses in Agartala through various training methods, including live virtual training, blended learning (combination of online and classroom training), and on-demand classroom training, providing learners with flexibility in choosing their preferred mode of learning.

The salary of a machine learning engineer in India ranges from INR 8,57,029 per year according to an Indeed 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.

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