MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

Machine Learning Course Fee in Kolkata

Live Virtual

Instructor Led Live Online

60,000
37,900

  • 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

36,000
22,900

  • 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

Classroom

In - Person Classroom Training

60,000
42,900

  • 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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BEST MACHINE LEARNING CERTIFICATIONS

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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

Why DataMites Infographic

SYLLABUS OF MACHINE LEARNING CERTIFICATION IN KOLKATA

The following topics are covered in "Machine Learning"

Foundation:

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

Expert:

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

OFFERED MACHINE LEARNING COURSES IN KOLKATA

MACHINE LEARNING COURSE REVIEWS

About Machine Learning Course in Kolkata

Kolkata is the prime business, business and money related focal point of eastern India and the essential port of correspondence for the North-East Indian states, It is a champion among the most significant metro urban areas of India. The city's fortunes improved after the Indian economy was changed during the 1990s and changes in financial arrangements were sanctioned by the West Bengal state government.

DataMites™ Machine Learning Course in Kolkata will allow you to dive deep into the Machine Learning concepts in an organized way. We offer it as a complete course covering both the intensive training sessions plus hands-on labs for the following in-demand topics

1. Python for Machine Learning,

2. Machine Learning Associate,

3. Machine Learning expert,

4. Time series foundation,

5. Model deployment (Flask-API),

6. Deep Learning -CNN Foundation,

DataMites™ Machine Learning training is conducted in Kolkata as a 2months/64 hours duration course in a well-structured three phase module.

The structured three phase module of this course are

Phase 1 (15 Days)

Pre-course study helps you to develop your knowledge on the introduction of Machine Learning. It is a self-study phase that needs to be completed before entering to phase 2 module. Phase 1 includes high-quality videos, E-books covering the syllabus of Machine Learning essentials and Practice Materials. Furthermore, it facilitates the candidates to practice scripts at a cloud lab conveniently.

Phase 2 (2 Months)

This is the most crucial part of the training that comes with fulltime intensive training sessions through any of the convenient channels, Traditional Classroom Training, Live Instructor-Led Online Training, and Self Paced Learning / E-learning. This phase covers the next higher level syllabus of Machine Learning Associate and expert.

Phase 3 PAT Services (4 Months)

This is a dedicated part for candidates to make them market ready after the series of intensive coaching and learning. It covers 4-month Project Mentoring, exposure to 5+ detailed Industry related projects, revision sessions, access to an extensive collection of interview questions, resume support, mock interview sessions, job updates and experience certificate.

On completion of these well-orchestrated series of DataMites™ Machine Learning phases allow the aspirants to explore heights in their Machine Learning career.

Starting in 2010, Kolkata, with an expected total national output (GDP) by buying power equality of 150 billion dollars, positioned third among South Asian urban communities, after Mumbai and Delhi. Kolkata's GDP in 2014 was Rs 1.84 trillion, according to a collaborative assessment by multiple universities and climate agencies. As in numerous other Indian urban areas, data innovation turned into a high-development segment in Kolkata beginning in the late 1990s;the city's IT sector grew at 70% per annum—a rate that was twice the national average. The 2000s saw a surge of investments in the land, framework, retail, and cordiality divisions; a few enormous shopping centers and lodgings were propelled. Companies such as ITC Limited, CESC Limited, Exide Industries, Emami, Eveready Industries India, Lux Industries, Rupa Company, Berger Paints, Birla Corporation and Britannia Industries are headquartered in the city. Philips India, PricewaterhouseCoopers India, Tata Global Beverages, Tata Steel have their registered office and zonal headquarters in Kolkata, there is a huge growth expected in IT industry companies are ready to invest huge amount of money

The Key Features of Machine Learning Training in Kolkata

Project Mentoring: You can gain experience by working on live projects from global AI and ML Solution providers.

Revision Sessions: Lots of revisions and multiple opportunities to clarify your doubts with our chief Data Scientist even after course completion.

Resume Support: You can curate a customized resume at the hands of experts to make your first impression the best one.

Interview Questions: Equip yourself with the latest interview questions and answers to face the interviews confidently.

Mock Interviews: Our experts will help you to increase your job interview success rate and get hired quickly by practicing numerous mock interview sessions.

Job Updates: All latest job updates which are validated and perspective are posted regularly by PAT Team in PAT Facebook group.

The prospects for Machine Learning is seeing an increasing curve and beginning a career in ML needs an intensive training from a recognized training provider. DataMites™ is India's top-ranked training provider, accredited by IABAC, delivering different training courses on Machine Learning in various cities in India. With at least two batches starting every month, the aspiring professionals can easily enroll for classroom or online ML course in Kolkata with DataMites™.

DataMites also provides training for Artificial Intelligence, Deep Learning, Python, IoT, Python for Data Science and the entire Data Science courses in Kolkata.

About Machine Learning Training in Kolkata

Kolkata, being a growing IT and business hub, offers increasing opportunities for machine learning professionals. Roles include Machine Learning Engineer, Data Scientist, AI Engineer, NLP Engineer, Business Intelligence Analyst, and Predictive Modeler. Companies in fintech, healthcare, e-commerce, and IT services across Kolkata are actively hiring ML talent.

The ML market in Kolkata is witnessing rapid growth, with an estimated annual rise of around 20–25%. Startups, IT service companies, and analytics firms are driving demand, along with government-backed AI initiatives in smart city projects.

The cost of Machine Learning courses in Kolkata typically ranges from ₹30,000 to ₹1,50,000, depending on the institute, training mode (online/offline), and course duration.

Machine Learning course durations vary. Certification programs generally take 3 to 6 months.

 In Kolkata, ML helps businesses predict customer behavior, automate operations, reduce fraud, optimize supply chains, and generate data-driven insights. Sectors like banking, retail, healthcare, and logistics in the city are rapidly adopting ML solutions.

  • Healthcare: Predictive diagnosis, drug discovery
  • Finance: Fraud detection, algorithmic trading
  • Retail: Personalized recommendations, demand forecasting
  • Logistics: Route optimization, supply chain management
  • Media & Entertainment: Content recommendations, speech/image recognition

No. Artificial Intelligence (AI) is the broader concept of building intelligent systems, while Machine Learning (ML) is a subset of AI that allows systems to learn and improve from data.

Yes. India is expected to need over 1 million AI and ML professionals by 2030. With Kolkata’s IT and startup ecosystem growing steadily, ML professionals have excellent long-term career prospects.

Yes. Freshers can start in roles like ML Intern, Junior Data Scientist, or AI Analyst after completing an ML course and building a strong foundation in Python, statistics, and ML frameworks.

Training equips you with hands-on skills, industry projects, and certifications necessary to stand out in the competitive ML job market. It bridges the gap between theory and practical application.

Top recruiters include TCS, Cognizant, Wipro, Capgemini, PwC India, IBM, Accenture, and several analytics startups. Many fintech and healthcare firms in Kolkata are also actively hiring ML professionals.

  • Proficiency in Python, R, SQL
  • Knowledge of statistics, linear algebra, and probability
  • Experience with frameworks like TensorFlow, PyTorch, Keras
  • Familiarity with big data tools such as Hadoop and Spark
  • Strong problem-solving and business domain knowledge

Yes. With beginner-friendly ML courses in Kolkata, even non-technical learners can transition into ML careers by starting with Python, data handling, and visualization.

Absolutely. ML will remain a cornerstone of innovations in generative AI, autonomous systems, predictive analytics, and smart healthcare. Learning it now secures strong future career growth.

Industries like finance, IT services, healthcare, consulting, retail, logistics, and media are among the top recruiters for ML professionals in Kolkata.

Yes, basic coding is required. Python is the most widely used language, but beginners can start with minimal coding and gradually build expertise.

It can be challenging at first because it combines math, programming, and data concepts. However, structured courses and real-world projects make it easier to master.

No. ML is applied in finance, healthcare, retail, and logistics, making it useful for professionals across multiple industries.

Yes. Many top institutes in Kolkata and global platforms provide online ML courses with flexibility, mentorship, and project-based learning.

From voice assistants, recommendation systems, fraud alerts, and spam filters to personalized ads and smart healthcare apps, ML plays a role in everyday life.

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FAQ’S OF MACHINE LEARNING TRAINING IN KOLKATA

Upon completing the program, students receive a globally recognized Machine Learning certification accredited by IABAC (International Association of Business Analytics Certifications). This adds strong credibility to your resume and opens career opportunities worldwide.

DataMites is preferred for its expert mentors, industry-driven curriculum, hands-on projects, and excellent placement support. With global certifications and real-time case studies, learners gain both knowledge and practical exposure needed to succeed.

Yes, the course includes internship opportunities that provide real-world exposure. Internships help bridge the gap between theory and practice, allowing students to work on live projects and gain professional experience.

Yes, DataMites provides flexible EMI payment plans to make the course financially accessible. Learners can pay fees in easy installments, making it convenient for students as well as working professionals.

Absolutely! DataMites offers free trial sessions so learners can evaluate the teaching style, curriculum, and training methodology before enrolling.

The course fee generally ranges between INR 30,000 and INR 60,000, depending on the program format, duration, and level of specialization. EMI options and periodic discounts are also available.

Yes, DataMites offers comprehensive placement assistance, including resume building, mock interviews, and job referrals. With a strong hiring partner network, learners get access to better career opportunities.

DataMites follows a transparent refund policy that varies depending on course terms and timing of cancellation. Students should review the details carefully at the time of enrollment.

Learners receive comprehensive study materials, recorded video sessions, project resources, and practice datasets. These resources support learning during and even after course completion.

The training is delivered by experienced industry professionals with strong expertise in AI and ML. They bring real-world insights and mentor students through projects and case studies.

Yes, the course includes live projects and real-world case studies, ensuring learners can apply their knowledge in practical scenarios and become job-ready.

The program typically runs for around 6 months, including 100+ hours of live online training. Flexible batch options such as weekday and weekend sessions are available.

Yes, students have access to recorded sessions and doubt-clearing support, ensuring they can catch up on missed lessons without disrupting their progress.

Learners build expertise in Python, Machine Learning, Deep Learning, NLP, Computer Vision, and deployment techniques. These in-demand skills prepare them for diverse ML roles across industries.

The Flexi Pass allows learners to attend unlimited batches of a chosen course for one year. This flexibility helps students revise topics, rejoin classes, and learn at their own pace.

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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