Machine Learning Course in Gurgaon

Intellipaat's Machine Learning course in Gurgaon is focused on the essential topics such as statistics, Python, various ML algorithms, types of Machine Learning, decision tree, linear regression, logistic regression, random forests, etc. Here, learners will get a thorough knowledge that will make them skillful ML Engineers. It is also an immersive online Machine Learning training in Gurgaon that comprises real-time projects and 24/7 training support for you to gain profound expertise in Machine Learning. Therefore, to become a professional in ML and to build and execute real-time projects such as film recommendations, chat creation, etc., register for our Machine Learning course now!

Key Features

32 Hrs Instructor Led Training
32 Hrs Self-paced Videos
64 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

About Machine Learning Course

The Machine Learning course in Gurgaon offered by Intellipaat is an online instructor-led training program. Over the years, it has been designed by subject matter experts to satisfy the demands of the new data-driven market. Our online certification course for Machine Learning gives a comprehensive run-through of various Machine Learning concepts such as:
  • Different types of ML algorithms and techniques
  • Classification and regression problems
  • Time series analysis
This comprehensive Machine Learning training program includes the most famous and extensively used technology, i.e., Deep Learning. Also, it covers the applications of Deep Learning such as Natural Language Processing. In addition, you'll study how to derive predictions from data using Python programming in this Machine Learning training in Gurgaon!

How can you become skilled in ML by taking up this Machine Learning course in Gurgaon?

Through enrolling in this Machine Learning course online from Intellipaat which is one of the leading Machine Learning Institutes in Gurgaon, you will become an expert in the Machine Learning domain. Here, the instructors will ensure that you get a good understanding of the various ML modules. Besides, you will be working on real-time projects to enhance your implementation skills.

At Intellipaat, our SMEs have performed an important role in designing and publishing online courses for Machine Learning. Some of the topics incorporated in this course include:

  • Training machines using data
  • Linear regression and multiple linear regression
  • Classifying data using logistic regression
  • Designing Machine Learning systems
  • Support Vector Machine algorithms
  • Representation of artificial neural networks
  • Data modeling using principal component analysis, etc.

Our ML training program is acclaimed as the top Machine Learning certification in Gurgaon by industry professionals. It is designed for:

  • Career-changing professionals
  • Undergraduates and freshers
  • E-commerce specialists, Data Analytics, Data Scientists, and Business Intelligence professionals

No matter what your previous experience and knowledge are, everybody can enroll for this Machine Learning classes in Gurgaon.

Machine Learning has shown a drastic growth over the past few years. Automation has also become the new technological face of the 21st century. Due to the combination of Machine Learning and automation, there are much more advancements happening on a daily basis. This in turn has a huge impact on jobs created in the field of Machine Learning. Therefore, by enrolling in this ML online training from one of the leading Machine Learning Institute in Gurgaon, you are sure to get a thorough understanding of Machine Learning concepts, and thereby you will be exposed to a number of high-paying jobs.

The Machine Learning training course from Intellipaat is being offered by Machine Learning experts who are working with prime organizations. As part of this training, you will learn about the fundamental fields in Machine Learning such as:

  • Python programming for Machine Learning
  • Supervised and unsupervised learning
  • Naïve Bayes classifier
  • Natural Language Processing
  • Deep Learning and neural networks
  • Time series analysis

Every module finishes with assignments that are to be solved making use of the dataset provided. In addition, you will be working on many industry-oriented projects that will strengthen your skillset and will help you find a well-paid job! If you enroll in this Machine Learning training, we will assist you with our placement and career support services.

You will thoroughly learn the principles of Machine Learning, simulation of time series, recommendation engines, and much more. Further, once you complete all the modules of this Machine Learning training, you’ll become skilled at:

  • Statistical aspects of Machine Learning
  • Machine Learning models, namely, Naïve Bayes, Kernel SVM, etc.
  • Reinforcing these models and capturing the abstract theories of ML pragmatically
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Course Fees

Self Paced Training

  • 32 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access

Online Classroom preferred

  • Everything in self-paced, plus
  • 32 Hrs of instructor-led training
  • 1:1 doubt resolution sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 06 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 14 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 20 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$351 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Machine Learning Course Content

Module 01 - Introduction to Machine Learning preview videos

1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised and reinforcement learning, why Machine Learning with Python and applications of Machine Learning.

2.1 Introduction to supervised learning, types of supervised learning, such as regression and classification
2.2 Introduction to regression,
2.3 simple linear regression,
2.4 Multiple linear regression, assumptions in linear regression
2.5 Math behind linear regression.

Hands-on Exercise

1. Implementing linear regression from scratch with Python
2. Using Python library Scikit-learn to perform simple linear regression and multiple linear regression
3. Implementing train–test split and predicting the values on the test set.

3.1 Introduction to classification
3.2 Linear regression vs Logistic regression
3.3 Math behind logistic regression, detailed formulas, log it function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR.

Hands-on Exercise

1. Implementing logistic regression from scratch with Python
2. Using Python library Scikit-learn to perform simple logistic regression and multiple logistic regression
3. Building a confusion matrix to find out accuracy, true positive rate, and false positive rate.

4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, to understand the concept of information gain for the right split of node, impurity function, information gain
4.3 Understand the concept of information gain for the right split of node, impurity function, Gini index, Understand the concept of Gini index for the right split of node. Understand Overfitting, pruning, Pre-Pruning, Post-Pruning and cost-complexity pruning
4.4 Introduction to ensemble techniques, understanding bagging, introduction to random forests, and finding the right number of trees in a random forest.

Hands-on Exercise

1. Implementing a decision tree from scratch in Python
2. Using Python library Scikit-learn to build a decision tree and a random forest.
3. Visualizing the tree and changing the hyper parameters in the random forest.

5.1 Introduction to probabilistic classifiers,
5.2 Understanding Naïve Bayes, math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM, and math behind SVM.

Hands-on Exercise

1. Using Python library Scikit-learn to build a Naïve Bayes classifier and a support vector classifier.

6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA.

Hands-on Exercise

1. Using Python library Scikit-learn to implement K-means clustering
2. Implementing PCA (principal component analysis) on top of a dataset.

7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 OS modules, Natural Language Toolkit (NLTK) environment,
7.7  Text mining: its cleaning and pre-processing and text classification.

Hands-on Exercise

1. Learning Natural Language Toolkit and NLTK Corpora
2. Reading and writing .txt files from/to a local drive
3. Reading and writing .docx files from/to a local drive.

8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural network vs artificial neural network
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and Tensor Flow constants, variables and place-holders.

9.1 What is time series?, its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model, time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis), and text analysis.

Hands-on Exercise

1. Analyzing time series data
2. The sequence of measurements that follow a non-random order to recognize the nature of phenomenon
3. Forecasting the future values in the series.

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Machine Learning Projects and Case Studies

What projects and case studies I will be working on in this Machine Learning certification course?

Project 01: Analyzing the trends of COVID-19 with Python

Industry: Analytics

Problem Statement: Understanding, the trend of COVID 19 spread and if the restrictions imposed by governments around the world has helped us curb the COVID 19 cases and by what degree

Topics: In this project we will use Data Science and Python to perform data visualization to understand the data. We will use on COVID 19 data set to do Time Series Analysis in order to make a prediction about future cases if the current trend as observed thus far continues.


  • Using pandas to accumulate data from multiple data files
  • Using plotly (visualization library) to create interactive visualizations
  • Using facebooks prophet library to make time-series models
  • Visualizing the prediction by combining these technologies

Project 02 – Customer Churn Classification

Topics – This is a real-world project that gives you hands-on experience in working with most of the Machine Learning algorithms.

The main components of the project include the following:

  • Manipulating data in order to gain meaningful insights.
  • Visualizing data to figure out trends and patterns among different factors.
  • Implementing these algorithms: linear regression, decision tree, and Naïve Bayes.

Project 03 – Recommendation for Movie, Summary

Topics – This is a real-world project that gives you hands-on experience in working with a movie recommender system. Depending on what movies are liked by a particular user, you will be in a position to provide data-driven recommendations. This project requires you to deeply understand information filtering, recommender systems, user ‘preference’, and more. You will exclusively work on data related to user details, movie details, and others.

The main components of the project include the following:

  • Recommendation for movies
  • Two types of predictions: Rating prediction and item prediction
  • Important approaches: Memory-based and model-based
  • Knowing user-based methods in K-Nearest Neighbor
  • Understanding the item-based method
  • Matrix factorization
  • Decomposition of singular value
  • Data Science project discussion
  • Collaboration filtering
  • Business variables overview

Case Study 01 – Decision Tree

Topics – To understand the structure of a dataset (PIMA Indians Diabetes database) and create a decision tree model based on it by using Scikit-learn

Case Study 02 – Insurance Cost Prediction (Linear Regression)

Topics – To understand the structure of a medical insurance dataset, implement both simple and multiple linear regression, and predict values

Case Study 03 – Diabetes Classification (Logistic Regression)

Topics – To understand the structure of a dataset (PIMA Indians Diabetes dataset), and implement multiple logistic regression and classify[I3] . Fit your model on the test and train data for prediction and evaluate your model using confusion matrix and then visualize it

Case Study 04 – Random Forest

Topics – To create a model that would help in classifying whether a patient is ‘Normal’, ‘Suspected to have disease,’ or in actuality ‘Has the disease’ on the ‘Cardiotocography’ dataset

Case Study 05 – Principal Component Analysis (PCA)

Topics – Read the sample iris dataset given to you, use PCA to figure out the number of most important principal features, and then reduce the number of features using PCA. Train and test the Random Forest Classifier algorithm to check if reducing the number of dimensions is causing the model to perform poorly. Figure out the most optimal number that produces good quality results and predicts accuracy

Case Study 06 – K-means Clustering


  • Analyze data
  • Extract useful columns from the dataset
  • Visualize data
  • Find out the appropriate number of groups or clusters for data to be segmented into (using the elbow method)
  • Using k-means clustering, segment data into k groups (k is found in the previous step)
  • Visualize a scatter plot of clusters, and a lot more
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Machine Learning Certification

Intellipaat Machine Learning certification is well recognized across more than 500+ top MNC’s. As part of this ML training, you will be engaged in real-time projects and assignments which projects real-world industry scenarios. This way, you can expedite your career effortlessly.

Intellipaat Course Completion Certification will be issued after the project has been completed (after expert review) and upon scoring at least 60 percent on the quiz.

You would be glad to know that Intellipaat 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.

Our Alumni works at top 3000+ companies

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Machine Learning Training Reviews


Mr Yoga


John Chioles




Dileep & Ajay

Raghavendra Narayan

Business Analyst at Tata Consultancy Services

They provide one of the best Machine Learning online courses in the market. I really liked the way Intellipaat approached such a complex topic like Machine Learning and made it so easy to understand. 5 stars to Intellipaat for conducting such wonderful Machine Learning classes.

Rashi G

Intellipaat's Machine Learning online training helped me clear the exam in the first attempt. Also, the trainer came with very good experience, and thus, I was able to learn this technology effortlessly. Thank you Intellipaat!

Bharat Rathore

Expert in Data Analysis & Data Science

The Machine Learning online certification classes was top-notch and the course material was very good with lots of real-world examples of this awesome technology. Learning with Intellipaat was a great experience!

Shreyash Limbhetwala

Technical Delivery Lead

I had completed this course a while back and the job assistance they provided me with was extremely supportive. Their team offered mind-blowing support in terms of upgrading my resume with respect to the new skills I had acquired during this course. They also conducted several mock interviews which gave me confidence during my actual interview and helped me successfully land the job. Overall, it is the best online course for machine learning.

Kavita Mehra

Hadoop Developer at TCS

This ML online course was up-to-date and the instructor taught all the concepts in great detail. It was a very informative course with all the topics taught step-by-step. For a beginner like me, this Deep Learning course was amazing and helped me a lot in becoming proficient in Machine Learning and Deep Learning concepts.

Amitav Tripathy

Project Manager at Micro Focus

Overwhelming Machine Learning training course with concepts taught in great detail. The 24-hours support provided was really helpful when I had to clear my doubts. Moreover, the resource material provided in this course was comprehensive and interesting, which helped in making this course fun to learn.

Bhanukumar Muppalla

Software Engineer at DXC Technology

I have done a couple of online courses in various courses from other places but I was never quite satisfied. I recently took up one of the best Machine Learning courses with Intellipaat and I am still in the middle it. But, unlike my previous experiences, this course was very interactive and really helped me grasp all the concepts with a decent amount of effort.

Nandini Shankar

Senior Software Engineer at ACC Limited

I have always had a keen interest in Machine Learning but I was not sure about doing an online course in it since I do not really have much experience in learning online. However, I came across one of these machine learning classes and I thought of giving it a try, and to say that I was extremely satisfied with this course would be an understatement.


Sr Manager at Cognizant Technology Solutions

I am a Machine Learning Engineer in a well-reputed organization. I started working here recently and I got this job opportunity only because of this best course for Machine Learning. I finished this course recently and the job opportunities that came flooding in after I had received the certification was amazing.

Adegboyega During

Keystone Bank Limited

Overall, the most delightful aspect of the best Machine Learning course online was the assistance of the placement team. The team really did a great job in preparing me for a job interview by conducting a number of dummy interviews for which I am extremely grateful. They also help me prepare and mold my resume as per the job role I was seeking.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

The concepts are taught from the basics which were really helpful for me as I am not from a computer science background. Moreover, the course material was easily available and accessible even after I had completed the course. This was convenient and helpful since I had to refer to a few concepts every now and then to completely grasp it.

Vikrant Singh

Big Data Analytics

Excellent Machine Learning certification course with extremely interactive sessions. The course was very well delivered and structured. Even the complex concepts were taught with extreme ease with practical, real-life, and relatable examples. This helped a great deal in getting hold of the concepts and comprehending the same.

Rich Baker

Director at SBD System

The machine learning with python course was very comprehensive, well-planned, extremely organized, and elaborate. Besides, the assignments and projects that had to be solved after the course really helped in testing my skills and knowledge based on the course.

Samar Jain

Business Analyst at McKinsey & Company

The training was amazing and the trainer did a great job of explaining it. He was extremely patient throughout the lectures and gave enough time and effort to explain each and every concept. I was extremely satisfied with this Machine Learning python course.

Bharti karma

Analyst at Oracle India Pvt. Ltd

I had recently completed my AI and Machine Learning course with Intellipaat. All the concepts were clearly explained by the trainer. I was able to understand and grasp the concepts easily. Also, I could clear all my doubts related to the course on the given platform.

FAQ’s on Machine Learning Certification Course

Why should I learn Machine Learning from Intellipaat?

Intellipaat provides comprehensive Machine Learning training through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat ML course includes:

  • You will learn various concepts such as Machine Learning using Python, Classification techniques, Linear and Logistic Regression, Supervised and Unsupervised Learning, and more
  • After successfully completing your Machine Learning online training, you will be awarded Intellipaat Machine Learning Certification, which holds merits across 100+ MNCs across the world
  • This course covers real-time ML projects and step-by-step tasks that are highly relevant to the corporate world, as well as a curriculum for this course, are created by industry experts
  • Our Machine Learning certificate will allow you to compete for the highest salary for some of the best positions in the world’s leading MNCs
  • We provide lifetime access to videos, course materials, 24/7 learning support and free upgrades to the latest version.
At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Apparently, No. Our Job Assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and assists you in finding a well-paid job, matching your profile. The final decision on your hiring will always be based on your performance in the interview and the requirements of the recruiter.
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