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Machine Learning Course in Kanpur

84,225 Ratings

Rated #1 Machine Learning Training by India TV

Our machine learning course in Kanpur by Intellipaat is curated by experienced ML experts to help you master Regression, Git, Tableau, PySpark, TensorFlow, etc. This machine learning certification course will be taught by top industry experts while working on real-time projects and case studies.

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
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Machine Learning Course in Kanpur Overview

What machine learning skills will you acquire in this machine learning course in Kanpur?

The following concepts are covered in this machine learning course in Kanpur:

  • Deploying Machine Learning models on Clouds ( MLOps)
  • Data analysis, project life cycle, and Data Science in the real world
  • Python with Data Science
  • Techniques of evaluation, experimentation, and project deployment
  • Natural Language Processing and its applications
  • Git, Storytelling
  • Machine Learning algorithms
  • Data visualization with Tableau
  • Data Science at scale with PySpark, AI with TensorFlow
  • Analysis segmentation using clustering and the technique of prediction
  • Microsoft Excel for data analysis and data transformation

This machine learning training in Kanpur is well-suited for the following professionals:

  • Analytics professionals
  • Data Scientists
  • BI professionals
  • Graduates who are aiming to pursue a career in the ML domain

There are no prerequisites for learning from this course. Anyone with an interest in upgrading their skills in this field can take up the best machine learning course in Kanpur.

  • The average annual pay of a Machine Learning Engineer in UP is ₹688,000 p.a. – PayScale
  • The demand for Machine Learning Engineers is likely to increase by 60% in the next few years – Forbes
  • Kanpur has 200+ ML jobs open for certified professionals – Indeed
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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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9+ Essential Tools You'll Learn

python 2 jupyter 3 Scipy 2 numpy 2 pandas matplotlib tensorflow SQL 1 excel 1 PowerBI
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Machine Learning Course Fees in Kanpur

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 Kanpur 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 Kanpur Projects

Career Services

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

Advanced Certification in Data Science and AI Click to Zoom

These machine learning courses in Kanpur aim to make you an expert through various projects and assignments, which will give you exposure to real-world industry scenarios. This way, you can expedite your career effortlessly.

Machine learning certification course from Intellipaat will be issued once you successfully work on the projects assigned to you during the ML training in Kanpur (after review) and score at least 60% in the quiz.

You would be glad to know that Intellipaat’s Machine Learning certification is well-recognized by more than 500 top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, IBM, Infosys, Genpact, TCS, Hexaware, and more.

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Machine Learning Course in Kanpur FAQs

Can Intellipaat provide machine learning course near me in Kanpur?

Intellipaat has been serving ML enthusiasts from every corner of the city. You can be living in any locality in Kanpur, be it Arya Nagar, Swaroop Nagar, Ashok Nagar, Harsh Nagar, Tilak Nagar, Sarvodaya Nagar, Acharya Nagar, Jawahar Nagar, Pandu Nagar, Gandhi Nagar, Civil Lines, Vikas Nagar or anywhere. You can have full-access to our machine learning online course sitting at home or office 24/7.

Our teaching assistant team comprises SMEs, who help trainees in diverse aspects, including assignment sessions, project evaluation, and doubt clearance.

If you miss a class, then you can contact our customer support team, who will assist you in scheduling another class for the same topic so that you can catch up with the rest.

Besides, all the sessions are recorded and shared with all participants in the LMS (learning management system), so you can refer to these recorded sessions to make up for the missed class.

Intellipaat provides comprehensive teaching in machine learning through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat ML certification course includes the following:

  • You will learn various concepts such as ML using Python, classification techniques, linear algebra behind linear regression along with logistic regression, supervised and unsupervised learning, and more.
  • After successfully completing the lectures, you will be awarded Intellipaat’s certificate, which holds merit in 100+ MNCs across the world.
  • This program covers real-time ML projects and step-by-step tasks that are highly relevant in the corporate world. It also includes an extensive curriculum, created by industry experts.
  • Our certification training will allow you to compete for some of the best positions in the world’s leading MNCs for higher salaries.

We provide lifetime access to videos, resources and their free upgrades to the latest version, and 24/7 learning support.

Machine learning is basically the process to collect real-world data, extract useful information from it, and then take actions to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

No doubt, machine learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.

Here, at Intellipaat, we create our program by taking into consideration our learners come from varied backgrounds. So, we curate it from the basic level and gradually increase the difficulty level for you to easily grasp all the concepts taught as part of the program. Further, we make sure that, by the end of the program, your skills would be equivalent to 6-month experience in this technology.

You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to it as and when required.

Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail of the group discount for our machine learning advance course, you need to contact our course advisors, who will help you with all your doubts regarding the discount offers we provide.

Intellipaat offers the facility of integrated labs that act as a platform for you to execute our industry-based projects. You will be guided through the steps so that you can easily deploy all the necessary tools and further execute the hands-on exercises successfully.

Intellipaat’s Machine Learning program provides material that comprises all the modules that are necessary to learn this popular technology. These pre-recorded video lectures and material are extremely effective, as they allow you to complete the whole program at your own pace and take your time to learn the concepts thoroughly.

After completing this certification training, you will be awarded the certificate from us, which is valid for a lifetime.

Intellipaat’s certificate is recognized by over 500 top MNCs across the world, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.

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