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Machine Learning Training Course in Kolkata

81,357 Ratings

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.

Ranked #1 Data Science Program by India TV

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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 Top Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support
No-cost EMI Option
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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 the Machine Learning Course Mentors

Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

Speech Recognition

Reinforcement Learning

Recommendation Systems

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Tools Covered

python jupyter Scipy numpy pandas matplotlib tensorflow SQL tableau excel git
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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
20 Jul

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

27 Jul

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

03 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

10 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$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

Module 1 – Preparatory Session - Python

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Python 

  • Introduction to Python and IDEs
  • Python Basics
  • Object Oriented Programming
  • Hands-on Sessions And Assignments for Practice
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Module 2 – Data Wrangling with SQL

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SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables 

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table. 
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc. 
  • Clustered indexes, common table expressions.
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Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.
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Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, central limit theorem. 

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.
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Introduction to Machine Learning 

  • Supervised, Unsupervised Learning.
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables.
  • How to train the model in a regression problem.
  • How to evaluate the model for a regression problem.
  • How to optimize the efficiency of the regression model.

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables.
  • How to train the model in a classification problem.
  • How to evaluate the model for a classification problem.
  • How to optimize the efficiency of the classification model.

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables.
  • How to train the model in a clustering problem.
  • How to evaluate the model for a clustering problem.
  • How to optimize the efficiency of the clustering model.
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Supervised Learning 

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Support Vector Machine
  • Gradient Descent
  • K-Nearest Neighbors
  • Time Series Forecasting

Unsupervised Learning 

  • K-means
  • Dimensionality reduction
  • Linear Discriminant Analysis
  • Principal Component Analysis
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Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning
  • Deep neural networks
  • Convolutional Neural Networks 
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, Restricted Boltzmann machine
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The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
  • Feature engineering and scaling the data for various problem statements. 
  • Model selection and model building on various classification, regression problems using supervised/unsupervised Machine Learning algorithms.
  • Assessment and monitoring of the model created using the Machine Learning models.
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Electives:

  • Power BI Basics
  • DAX
  • Data Visualization with Analytics
  • Hands-on Exercise
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  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
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  • Excel Fundamentals
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Power Tools
  • Classification Problems using Excel
  • Information Measure in Excel
  • Regression Problems Using Excel
  • Hands-on Exercise
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Machine Learning Training in Kolkata Projects

Career Services

Career Services
resume

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.

linkedin

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

interview

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

expert

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

guaranteed

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

job_portal

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Machine Learning Certification in Kolkata

Machine-Learning-Course-Certificate Click to Zoom

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.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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Find Machine Learning course online in Other Regions

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