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Machine Learning Training Course in Kolkata

84,225 Ratings

Rated #1 Machine Learning Training by India TV

This machine learning course in Kolkata, will walk you through machine learning with Python, machine learning algorithms, statistics, Git, Tableau, MLOps, and more. Throughout this machine learning certification in Kolkata , you will be trained by top industry experts.

In Collaboration With
08-Microsoft
IITM-Research

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ML Course Key Features

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Madras Faculty & Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IITM Research Park
24/7 Support
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Machine Learning Course in Kolkata Overview

What will you learn in this machine learning course in Kolkata?

Intellipaat, one of the premier machine learning institutes in Kolkata, provides a world-class course on ML, in which you can learn the following:

  • Data analysis, project life cycle, and data science in the real world
  • Python with data
  • Data science projects, analytics, and recommender systems
  • Natural language processing and its applications
  • Techniques of evaluation, experimentation, and project deployment
  • Data visualization with Tableau
  • Deploying machine learning models on Clouds (MLOps)
  • Git, Storytelling
  • Data science at scale with PySpark, AI with TensorFlow
  • machine learning
  • Analysis segmentation using clustering and the technique of prediction
  • Microsoft Excel for data analysis and data transformation

Intellipaat’s machine learning course in Kolkata can be joined by:

  • Software professionals looking for a career switch and fresh graduates
  • Professionals in analytics, data science, e-commerce, and search engine domains

We don’t expect you to have any prior knowledge. However, prior knowledge of programming languages is advantageous when enrolling in our machine learning certification classes in Kolkata.

Kolkata is the hub of some of the best IT companies, and due to this, the demand for ML professionals is at an all-time high here. This, combined with the number of startups mushrooming in the Silicon Valley of India, proves that the future of ML engineers can only get better in this city.

Some of the reasons why you should sign up for this machine learning course in Kolkata are as follows:

Job Title Number of Open Jobs (India) Average Annual Income (India)
Machine Learning Engineer 2,882 ₹ 600,000
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Machine Learning engineers rank among the top emerging jobs. - LinkedIn
The global Machine Learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet Your Course Mentors

18+ Key Skills You'll Master

Python

Data Science

Data Analysis

Generative AI

GIT

MLOps

Data Wrangling

SQL

Machine Learning

Prediction algorithms

Natural Language Processing

Data Visualisation

Speech Recognition

Reinforcement Learning

Recommendation Systems

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Tools Covered

python jupyter Scipy numpy pandas matplotlib tensorflow SQL excel PowerBI
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Machine Learning Course Fees in Kolkata

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

23 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Machine Learning Course in Kolkata Curriculum

Live Course Industry Expert Academic Faculty

Machine Learning Prerequisites - Python Basics

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  • Get introduced to basic programming terminologies and concepts like variables, data types, operators, functions, etc.
  • Understand the implementation of the object-oriented programming (OOPS) concept.
  • By the end of this module, you should be able to create programs in Python.
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  • Learn the fundamentals of Structured Query Language (SQL) such as tables, joins, comments, operators, DDL (Data Definition Language), DQL (Data Query Language), DML (Data Manipulation Language), DCL (Data Control Language) and TCL (Transaction Control Language)
  • Understand and Implement subqueries, rules, views, pattern matching, UDFs, stored procedures, etc.
  • Optimise your SQL queries by indexing, grouping, sorting, and CTEs(Common Table Expressions).
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  • Learn to manipulate data and create interactive visualisations using Python libraries like Numpy, Pandas, Matplotlib, and Seaborn.
  • Understand essential preprocessing techniques, such as exploratory data analysis, feature engineering, scaling, normalisation, and standardisation.
  • Using Python libraries, create bar charts, scatter plots, count plots, line plots, pie charts, doughnut charts, and more.
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  • Understand descriptive statistical measures such as central tendency, spread, five-point summary, etc.
  • Learn about inferential statistical measures such as correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, and chi-square test.
  • Analyse the probability of an event using probability distribution, Bayes’s theorem and central limit theorem.
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  • Get Introduced to machine learning, its types and usage.
  • Learn about regression, classification and clustering. Learn how to pick the right algorithms for a given problem statement.
  • Create a machine learning model for each of them and understand how to train, evaluate, and optimise them.
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  • Deep Dive into different machine learning algorithms and understand their working, importance and usage.
  • Learn and Implement supervised machine learning algorithms such as Linear regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Gradient Descent, K-nearest neighbours, and Time Series Forecasting.
  • Learn and Implement different unsupervised machine learning algorithms, such as K-means, Dimensionality reduction, linear discriminant analysis, Principal Component Analysis, etc.
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  • Understand and learn the basics of Artificial Intelligence and Python libraries like Keras and TensorFlow.
  • Learn the essential concepts of neural networks, such as their definition, advantages, structure, usage, types, etc.
  • Implement crucial deep learning concepts, such as Deep neural networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), GPUs in deep learning, Autoencoders, Restricted Boltzmann machines, etc.
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  • Explore the fundamentals of generative AI like LSTM, transformer architecture, BERT, etc.
  • Understand why these Gen AI models are better than traditional machine learning models.
  • Implement and learn about the evolution of large language models (LLMs) and their architecture to better understand context and perform complex generation tasks.
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  • Understand the basic concepts of NLP, such as tokenisers, POS tagging, lemmatisation, trigrams, Ngrams, text classification, stemming, frequency distribution, etc.
  • Work with language models, sequencing tasks, syntax trees, chunking, chinking, context-free grammar, etc.
  • Learn about the mechanism of words, term frequency, text conversion, count vectoriser, inverse document, etc.
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  • Learn the basics of Prompt Engineering.
  • Explore various strategies for prompt design.
  • Understand methods for evaluating prompt effectiveness and applying feedback loops to optimise the output.
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  • Understand the fundamental workings of MLOps and its lifecycle, from developing the model to evaluating and deploying it over Azure Machine Learning.
  • Get introduced to Microsoft Azure Machine Learning service and deploy your first machine learning model on it.
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In this machine learning capstone project, you will create an end-to-end machine learning pipeline. You will analyse the problem and suggest solutions based on data insights.

  • You will start by extracting and loading the data, followed by transforming it into a format suitable for driving inferences.
  • The next step will be manipulating and preprocessing the data to prepare it for creating a model.
  • Before creating the machine learning model, we must perform feature engineering related to the problem statement.
  • Then, we will select a suitable model that fits the problem statement and the data, train it with the training dataset, and test it using the testing dataset.
  • The last step is to evaluate the model and monitor it so that it gives a proper outcome.
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Electives:

  • Get introduced to PowerBI basics like importing data and creating dashboard reports for practical business intelligence.
  • Understand the usage of Data Analysis Expressions (DAX) to create custom metrics and perform calculations.
  • Create a PowerBI dashboard from scratch using everything you have learnt in this module, from creating visualisations, slicers, DAX, etc.
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  • You will be armed with some of the best job search strategies to help you search for jobs efficiently.
  • Create ATS friendly resume and LinkedIn profile that will increase your visibility in the industry market.
  • Give multiple mock interviews to industry professionals to get acclimatised to the types of questions and the interview environment.
  • Grab placement opportunities with our network of 3100+ hiring partners on clearing the placement readiness test (PRT).
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  • Learn the basics of MS Excel, such as getting familiar with the interface, formatting cells, alignments, sorting, filters, and fonts.
  • Implement and understand formulae and functions that make your Excel workbook dynamic.
  • Learn to create chart illustrations and apply data validation rules and conditional formatting for better trend analysis.
  • Make use of Excel for classification and regression problems.
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Machine Learning Training in Kolkata Projects

Career Services

Career Services
guaranteed
Placement Assistance
job_portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume
Career Oriented Sessions
linkedin
Resume & LinkedIn Profile Building
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Machine Learning Certification in Kolkata

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This machine learning certification course, one of the most prestigious machine learning courses in Kolkata, is designed by industry professionals to help you get the best jobs in top MNCs. You will be involved in real-time projects and assignments as part of this machine learning with Python training, which will have significant implications in real-world industry scenarios. You can easily advance your career this way.

You will find a quiz at the end of this machine learning training certification in Kolkata that perfectly reflects the type of questions asked in the machine learning certification exam, and it will help you get a higher score in the same.

Intellipaat’s ML course completion certificate will be issued after the project has been completed (after expert review) and after scoring at least 60% on the quiz. You would be glad to know that this certification is recognized by more than 100 top multinational companies, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

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Machine Learning Course in Kolkata FAQs

Why should I join this machine learning course in Kolkata at Intellipaat?

Machine learning course in Kolkata, offers hands-on projects and in-depth training covering ML concepts, Python, classification, linear regression, and more. Get a valued certificate, real-world projects, and lifetime access to resources. Elevate your career with 24/7 support.

To enroll in the machine learning training in Kolkata, you just need to visit the Intellipaat website, go to the course page, and follow the registration steps. Once enrolled, you will gain access to course materials and resources.

A machine learning certification course provides complete training in machine learning concepts, covering data preprocessing, feature engineering, supervised and unsupervised learning, deep learning, and model evaluation. It also includes practical projects for hands-on experience.

Here are some of the top job roles that you can consider after completing the best ML courses online in Kolkata:

  • Machine Learning Engineer
  • Human-centered Machine Learning Designer
  • Data Scientist
  • Business Intelligence Developer
  • NLP Scientist

Intellipaat offers one of the best ML courses in Kolkata that will help you become a successful ML engineer. Other courses, such as data science, artificial intelligence, R programming, data analytics course, and others are comprehensive and tailor-made to suit you as per the industry needs.

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