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Machine Learning Course in India with Python

Intellipaat Machine Learning course in India will help you be a master in the concepts and techniques of Machine Learning with Python, which include ML algorithms, supervised and unsupervised learning, probability, statistics, decision tree, random forest, linear and logistic regression through real-world hands-on projects. Get the best online machine learning training in India from top data scientists.

Machine Learning Course 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

Machine Learning Course Overview

Intellipaat is the best e-learning platform for Machine Learning course in India. It provides you with in-depth knowledge of Machine Learning. Here, you will learn Machine Learning with Python, supervised and unsupervised learning, Support Vector Machines, Random Forest Classifiers, best practices of Machine Learning, and more through hands-on projects and case studies.

What will you learn in this best Machine Learning course in India?

Intellipaat, one of the leading Machine Learning Institutes in India provides ML Course in which you can learn:

  1. Fundamentals of using data to train machines
  2. Principle Component Analysis for data modeling
  3. Logistic regression for classifying data using Python
  4. Support Vector Machine algorithms
  5. Designing of a Machine Learning system
  6. Representation of an artificial neural network
  7. Linear regression with multiple variables using Python

Intellipaat’s Machine Learning classes in India can be joined by:

  • Analytics Professionals
  • Data Science Professionals
  • E-commerce Professionals
  • Search Engine Professionals
  • Software Professionals looking for a career switch
  • Fresh graduates

This course requires no prior knowledge as the course will be taught from the basics. However, a basic knowledge of programming language will be beneficial for those who want to join one of the best Machine Learning courses in India.

India is the second largest IT sector in the world, and it is a hub for Machine learning technologies. There is a huge demand for professionals with good knowledge of Machine Learning. Since research and analytics are vital parts of organizational processes which cannot be completed without statistical calculations, there are ample opportunities for aspirants to make a great career in this field. Therefore, professionals with sound knowledge of Machine Learning have a bright future in India.

India is an ever-green hub for startups, and every business firm requires a robust function to operate. There is a great scope in the field of Machine Learning with Python to fulfill the requirements of the market, and the focus of multinational firms in India has created a huge competition which can be managed by analyzing the market conditions. Machine Learning with Python Programming serves this purpose, and hence aspirants wanting to become successful Data Scientists should learn Machine Learning with Python Programming.By having a Machine Learning certification in India, it enhances the prospect of getting hired.

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

  • There are over 2,882 Machine Learning jobs open and available in India in Indeed
  • According to LinkedIn, the average income of Machine Learning Engineers in India is about ₹600,000 per annum.

Intellipaat offers one of the best Machine Learning courses in India. This certification program is led by Machine Learning experts from leading industries in India and the US. It focuses on helping you understand the ML fundamentals such as Natural Language Processing (NLP), Python, and more. Moreover, you will work on real-world assignments and projects that will enhance your learning experience.

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Course Fees

Self Paced Training

  • 32 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$211

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
  • 18 Jul
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 26 Jul
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 01 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$351 10% OFF Expires in
$0

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, Machine Learning with Python, and the applications of Machine Learning

2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and 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, the logit 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, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required 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 and 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, and the 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 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, 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 networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow 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, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and 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 the phenomenon
3. Forecasting the future values in the series

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Machine Learning Projects and Case Studies

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

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

Industry: Analytics

Problem Statement: Understanding the trends of COVID-19 spread and checking if restrictions imposed by governments around the world have helped us curb COVID-19 cases and by what degree

Topics: In this project, we will use Data Science and Python and perform visualizations to better understand the data on COVID-19. We will also use time series analysis to make predictions about future cases.

Highlights:

  • Using Pandas to accumulate data from multiple data files
  • Using plotly to create interactive visualizations
  • Using Facebook’s 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 ML algorithms.

Highlights:

  • Manipulating data 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: Creating a Recommendation System for Movies

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.

Highlights:

  • 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: 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: Understand the structure of a medical insurance dataset, implement both simple and multiple linear regressions, and predict values.

Case Study 03: Diabetes Classification (Logistic Regression)

Topics: Understand the structure of a dataset (PIMA Indians Diabetes dataset); implement multiple logistic regressions and classify; fit your model on the test and train data for prediction; evaluate your model using confusion matrix, and then visualize it

Case Study 04: Random Forest

Topics: Create a model that would help in classifying whether a patient ‘is normal,’ ‘is suspected to have a disease,’ or in actuality ‘has the disease’ using the ‘Cardiotocography’ dataset

Case Study 05: Principal Component Analysis (PCA)

Topics: Read the sample Iris dataset; 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, and figure out the most optimal number that produces good quality results and predicts accurately

Case Study 06: K-means Clustering

Topics: Analyze data; extract useful columns from the dataset; visualize the data; find out the appropriate number of groups or clusters for the data to be segmented (using the elbow method); using k-means clustering, segment the 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

As part of this ML program, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.

Intellipaat’s certificate will be issued once you successfully work on the project (after expert review) and score at least 60 percent in the quiz.

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

In the first paragraph of this section, it is “500+”. This would create ambiguity.

Our Alumni works at top 3000+ companies

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Machine Learning Training Reviews

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Dileep & Ajay

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Sagar

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Ashok

Raghavendra Narayan

Business Analyst at Tata Consultancy Services

They provided one of the best Machine Learning online training courses in the market. I really liked the way Intellipaat had approached such a complex topic as ML and made it so easy to understand. 5 stars to Intellipaat for conducting such wonderful certification training!

Bharat Rathore

Expert in Data Analysis & Data Science

Machine Learning online certification course were top-notch, and the material was very good with lots of real-world examples. Learning with Intellipaat was a great experience!

Shreyash Limbhetwala

Technical Delivery Lead

I had completed this training course a while back, and the job assistance they provided me was extremely supportive. The team offered mind-blowing support for upgrading my resume with the new skills that I had acquired during the program. They also conducted several mock interviews, which gave me confidence during my actual interview and helped me successfully land the job. Overall, it is one of the best training courses ever.

Kavita Mehra

Hadoop Developer at TCS

This ML online program was up-to-date, and the instructor taught all the concepts in great detail. It was a very informative training course with all the topics taught step by step. It helped me a lot in becoming proficient in both ML and Deep Learning concepts.

Amitav Tripathy

Project Manager at Micro Focus

An overwhelming Machine Learning online course with concepts taught in great detail. The 24-hour support provided was really helpful when I had to clear my doubts. Moreover, the resource material provided was comprehensive and interesting, which made it easy to learn.

Bhanukumar Muppalla

Software Engineer at DXC Technology

I have learned a few technologies online from other online providers, but I was never quite satisfied. I recently took up this python Machine Learning course online, and I am still going through it. But, unlike my previous experiences, this is very interactive and helps me grasp all concepts with little effort.

Nandini Shankar

Senior Software Engineer at ACC Limited

I always had a keen interest in AI and ML. Intellipaat’s classes are of high quality, and trainers are the best in knowledge. I feel that enrolling in Intellipaat is the best decision I made for upskilling myself.

Satya

Sr. Manager at Cognizant Technology Solutions

I am an ML Engineer in a well-reputed organization. I started working here recently, and I got this job opportunity only because of this best training course on this technology. After completion, Intellipaat opened the door to many job opportunities that helped me secure a good job of my choice.

Adegboyega During

Keystone Bank Limited

Overall, the most delightful aspect of this online program was placement assistance. The team really did a great job in preparing me for a job interview by conducting a number of dummy interviews. I am extremely grateful to the team for helping me. They also help me prepare my resume as per the job role I was seeking.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

Here, concepts were taught from the basics, which was really helpful for me as I am not from a computer science background. Moreover, the material was easily available and accessible even after I completed the program. This was convenient and helpful as I could refer to the concepts whenever I wanted. I would recommend it as one of the best machine learning courses!

Vikrant Singh

Big Data Analytics

An excellent Machine Learning certification course with extremely interactive sessions. It was very well delivered and structured. Even the complex concepts were taught with extreme ease, along 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

This 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 program really helped in testing my skills and knowledge acquired.

Samar Jain

Business Analyst at McKinsey & Company

The program was amazing, and the trainer did a great job of explaining key concepts. 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 training online.

Bharti karma

Analyst at Oracle India Pvt. Ltd

I had recently completed my ML 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 program on the given platform.

Machine Learning Course FAQs

Why should I learn Machine Learning from Intellipaat?

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

  • You will learn various concepts such as ML using Python, classification techniques, linear and 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.

Intellipaat’s Machine Learning certification course is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.

Here, you will learn mathematics, statistics, etc. and then go on gaining in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.

Among various other institutes that provide the python Machine Learning course online, Intellipaat offers it at the most reasonable and affordable rate. It provides two modes of training, namely, self-paced and online instructor-led.

Intellipaat’s self-paced Machine Learning program costs about US$160, where you will be able to learn from pre-recorded video lectures at your own pace. The online instructor-led one, on the other hand, costs about US$265. In this, you will attend live lectures from trainers, along with which you will receive access to the self-paced program as well. Hence, this program is extremely beneficial.

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.

We select instructors who are top SMEs in the industry with a minimum of 8 to12 years of experience in the field of Machine Learning. They are all extremely qualified trainers in the field of Machine Learning and Artificial Intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.

Intellipaat’s teaching assistant team consists of technical experts who help learners in various aspects, including doubt clearance, assignment sessions, and project evaluation.

As part of career services, we conduct mock interviews and help in developing your resume and a LinkedIn profile. Besides, we have a dedicated job portal where you can interact with recruiters and apply to job openings. Our job portal has more than 500 recruiters on-board, including some of the top companies such as Amazon, Flipkart, etc.

Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail 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 accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from as per your convenience. You can speak to our advisors to get more details about different EMI options as well.

If you end up missing a class, then you can contact our support team. Our team will further assist you in scheduling another class for the same topic so that you can catch up with the rest.

Also, all the sessions are recorded and shared with all participants in the LMS (Learning Management system). You can also refer to these recorded sessions for the missed class.

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.

You can speak to our advisors for detailed information about ML, and they will help you select the best-suited one for you based on your skill set and work experience.

After successfully completing the entire program and executing all the given industry-based exercises and projects, you will receive the ML certificate from Intellipaat.

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.

As a part of our online certification training, we provide practice tests and assignments that will help you prepare for real-life examinations and jobs. These tests also let you assess yourself on what you have learned and how much you have grasped.

At Intellipaat, you can enroll in either 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, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent 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 real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, 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. After completing the projects successfully, your skills will be equal to 6 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 such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

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 find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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