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Machine Learning Course Online and Certification

This Machine Learning course will help you master skills such as Python, Machine Learning algorithms, statistics, probability, supervised and unsupervised learning, decision trees, random forests, linear and logistic regression, etc. to become a successful Machine Learning Engineer. Intellipaat’s Machine Learning certification online course comes with 24/7 support, multiple assignments, and project work to help you gain real-world exposure. You will work on projects such as building a movie recommendation system, chatbot creation, COVID-19 trends prediction, and more.

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

This Machine Learning online course is curated and developed by SMEs from top product-based companies to meet the needs of the current data-driven industry. It covers a detailed overview of Machine Learning algorithms and techniques such as regression, classification, time series modeling, supervised and unsupervised learning, Natural Language Processing, etc. You will also use Python to write code for implementing Machine Learning algorithms.

What will you learn in this Machine Learning course?

As part of this course, you will master below skills, and you will become a successful Machine learning Engineer:

  • Training machines using data
  • Representation of artificial neural networks
  • Understanding supervised and unsupervised learning in depth
  • Categorizing data using Python and logistic regression
  • Understanding k-means clustering, decision trees, and Naïve Bayes
  • Mastering random forest and designing Machine Learning applications
  • Performing linear regression on multiple variables using Python
  • Natural Language Processing and text mining using Python
  • Mastering the fundamentals of Deep Learning
  • Time series analysis and creating models for the analysis

Our ML training program is curated and designed for:

  • Professionals working in the domains of Data Science, Analytics, and BI
  • Professionals employed in fields of search engines and ecommerce
  • Professionals seeking a career change
  • Undergraduates and freshers

Everyone can take up this Machine Learning certification course regardless of their prior knowledge and experience.

  • Growth rate for Machine Learning jobs is about 350%!
  • Automation is the trending face of technology

In the world we live in today, ML has proved itself to be among the hottest and demanding technologies available out there.

Hence, by leveraging Intellipaat’s Machine Learning online training, you will be exposed to numerous high-paying job opportunities.

Through our Machine Learning training, you will master the key concepts of Machine learning such as Python programming, supervised and unsupervised learning, Naive Bayes, NLP, Deep Learning fundamentals, time series analysis, and more. Each session ends with assignments and tasks that you need to solve based on the available dataset. Further, you will work on many industry-specific projects that will solidify your skills and help you find a rewarding job! Also, we will help you in your career with our exclusive job support services.

Intellipaat offers one of the best online Machine Learning courses that will help you become proficient in the ML domain. Our expert instructors will make sure that you are familiar with the course modules. On top of that, you will be working on real-world projects that would further enhance your understanding.

  • As part of this ML course, you will work on real-world projects in the fields of ecommerce, automation, marketing, sales, banking, Internet, insurance, and more.
  • Our projects include building a chatbot to answers customer enquiries, building a Machine Learning recommendation system, fare prediction for taxi booking, analyzing the trends of COVID-19 with Python, customer churn classifier, etc.
  • Upon the successful project completion, your skills will be equivalent to 6 months of comprehensive industry 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
  • 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
$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 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 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 certification course?

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 Machine Learning 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 into (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

Intellipaat’s Machine Learning certification is well recognized across more than 500+ top MNCs. As part of this ML training, 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 Course Completion 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 is recognized by more than 100 top MNCs, 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

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Ritesh

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

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

Machine Learning online certification classes were top-notch, and the course 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 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 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 Machine Learning course was amazing. It 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-hour 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 made 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 going through it. But, unlike my previous experiences, this course was very interactive and helped me grasp all concepts with a little effort.

Nandini Shankar

Senior Software Engineer at ACC Limited

I always had a keen interest in Machine Learning. However, I was not sure about doing an online course since I did 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. Now, I feel, to say that I was extremely satisfied with this course would be an understatement.

Satya

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 on 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. I am extremely grateful to the team for helping me. They also help me prepare and mold my resume as per the job role I was seeking.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

Concepts were taught from the basics, which was 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 completed the course. This was convenient and helpful asI could refer to the concepts whenever I wanted.

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

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 course really helped in testing my skills and knowledge acquired through 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 with 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’s Machine Learning certification, which holds merit in 100+ MNCs across the world.
  • This course 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 Machine Learning certificate 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, course material, 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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