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Python Machine Learning Course

  • Learn machine learning basics using Python programming language
  • Get hand-on experience by implementing various machine learning algorithms through a series of projects
  • Learn to classify various types of machine learning - Supervised and Unsupervised learning
  • Stay updated in your career with lifetime access to live classes

Upcoming Live Machine Learning

Sat and Sun(6 weeks)
7:00 AM - 10:00 AM PST
for 6 months

Want to work 1 on 1 with a mentor. Choose the project track

About Machine Learning Course

Project Portfolio

Build an online project portfolio with your project code and video explaining your project. This is shared with recruiters.

36 hrs live hands-on sessions with industry expert

The live interactive sessions will be delivered through online webinars. All sessions are recorded. All instructors are certified data science professionals with 8+ years of industry experience

Remote Lab and Projects

Lab will test your practical knowledge. Assignments include data exploration, data pre-processing and data validation using Python and evaluating the best models. The projects will give you a complete understanding of each machine learning algorithm

Lifetime Access & 24x7 Support

Once you enrol for machine learning online course, you are welcome to participate in any future batches free. If you have any doubts, our support team will assist you in clearing your technical doubts

Weekly 1-on-1 meetings

If you opt for the project track, you will get 6 thirty minute one-on-one sessions with an experienced data scientist who will act as your mentor

Benefits of Machine Learning Online Course

How will this Machine Learning course help me get jobs ?

  • Display Project Experience in your interviews
    The most important interview question you will get asked is "What experience do you have?" Through DeZyre live classes, you will build projects on multiple machine learning algorithms using Python programming language that you can showcase to the interviewers.
  • Connect with recruiters
    You will build an online project portfolio, containing your code and video explaining your project. The project portfolio can be shared on your LinkedIn profile that will help you connect with recruiters if your project and background suit them.
  • Stay updated in your Career
    Every few weeks there is a new technology release in the analytics domain. We organise weekly hackathons through which you can learn these new technologies by building solutions to challenging data problems. These projects get added to your portfolio and make you more desirable to companies.

What if I have any doubts?

For any doubt clearance, you can use:

  • Discussion Forum - Assistant faculty will respond within 24 hours
  • Phone call - Schedule a 30 minute phone call to clear your doubts
  • Skype - Schedule a face to face skype session to go over your doubts

Do you provide placements?

In the last module, DeZyre faculty will assist you with:

  • Resume writing tip to showcase skills you have learnt in the course.
  • Mock interview practice and frequently asked interview questions.
  • Career guidance regarding hiring companies and open positions.

Machine Learning Course Curriculum

Module 1

  • Introduction to Python
  • Numpy Basics
  • Pandas Basics
Module 2

  • Matplotlib basics
  • Seaborn basics
Module 3

  • Introduction to Machine Learning
  • Data Preprocessing
  • Creating validation rules
Module 4

  • Introduction to Regression
  • Regularized Regression
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 5

  • Introduction to Classification
  • Regularized Classification
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 6

  • Introduction to Decision Tree
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 7

  • Introduction to Random Forest
  • Auto selection of parameters
  • Bagging and Boosting Models
  • Evaluation of best models
  • Model representation
Module 8

  • Introduction to SVM
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 9

  • Introduction to Neural Network
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 10

  • Introduction to Unsupervised Learning
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 11

  • Introduction to Dimension Reduction
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation
Module 12

  • Introduction to Nearest Neighbors
  • Auto selection of parameters
  • Evaluation of best models
  • Model representation

Machine Learning Projects

The best way to learn machine learning is to implement it yourself. The machine learning projects included in the course will help you enhance your applied machine learning skills while giving you an opportunity to explore interesting data-related problems. Plus, these machine learning projects can be incorporated into your portfolio, making it easier to land a machine learning job, find cool machine learning career opportunities, and even negotiate a higher salary.

In the DeZyre 1-1 mentor track, you will be assigned an Industry mentor, who will oversee your ML project and guide you throughout the duration of the project. You will get 6 thirty minute of 1-1 sessions with the mentors.

This online machine learning course will expose you to various Classification, Clustering and Regression data-related problems by providing hands-on experience working with any of the three open datasets listed below -

  1. Swedish Auto Insurance Dataset.
  2. Wine Quality Dataset.
  3. Pima Indians Diabetes Dataset.
  4. Sonar Dataset.
  5. Banknote Dataset.
  6. Iris Flowers Dataset.
  7. Abalone Dataset.
  8. Ionosphere Dataset.
  9. Wheat Seeds Dataset.
  10. Boston House Price Dataset.

Upcoming Classes for Machine Learning


25th Mar

  • Duration: 6 weeks
  • Days: Sat and Sun
  • Time: 7:00 AM - 10:00 AM PST
  • 6 thirty minute 1-to-1 meetings with an industry mentor
  • Customized doubt clearing session
  • 1 session per week
  • Total Fees $67/month for 6 months
  • Enroll

FAQs for Machine Learning Online Course

  • Why you should learn machine learning?
    • According to a report from popular job portal Indeed as of June 2017, 61% of the job postings in the AI industry were for machine learning engineers. With lack of qualified machine learning engineers to exploit to its full potential, this is the best time to upgrade your machine learning skills.
    • The salary for entry level machine learning engineers in US is $120,000 increasing up to $200,000 for experienced candidates with the average salary being $142,000.
    • The job role of a machine learning engineer is not industry specific making machine learning skills easily transferrable from industry to industry. Companies from investment banks to tech start-ups, biotech’ to media giants all are likely to hire skilled machine learning experts.
  • Would this machine learning training be very theoretical or practical in nature?

    This ML course will focus on practical knowledge more than mathematical or theoretical rigor. This does not imply that we would water down the content. However, the course gives more preference to the practical and applied aspects of machine learning algorithms. For every machine learning algorithm, the faculty would provide examples with case studies to show how these algorithms are used in the real world.

  • Who should do this online machine learning course?
    • This machine learning training is particularly designed for software programmers and data scientists who would like to expand their skills in data science and machine learning.
    • Anybody with basic math and programming skills and an interest in gleaning meaningful insights from data.
    • Graduates who want to build a career in machine learning and data science.
    • Software developers who want to make a career change into analytics domain.
    • Professionals who want to harness the power of machine learning in eCommerce, search and online consumer based organizations.
  • What are the pre-requisites for learning machine learning online?
    • Some experience with computer programming (preferably Python) as the course will be covered in python.
    • You must have a laptop or computer with 64 bit operating system.
    • Minimum 8GB of RAM
    • Strong internet connectivity.
    • A mic-headphone is recommended to improve the voice quality.
  • Why should I learn machine learning from DeZyre instead of other machine learning course providers?

    DeZyre’s machine learning course curriculum is comprehensive and in-depth that covers everything from machine learning basics to implementation of advanced machine learning algorithms. It is one of the best machine learning developed in partnership with certified data science professionals who have years of experience working with data science technologies since their inception. The course curriculum is updated on a regular basis with latest and relevant topics.

  • Who will be my faculty for the machine learning online course?

    You will be learning from industry experts who have 8+ experience working in the industry.

  • I want to know more about the online machine learning course. Whom should I contact?

    Click on the Request Info. Button on top of the page and to request a callback from one of our career counsellors to have your query resolved. If you need instant support, click on the Live Chat option.

  • What if I miss a class after enrolling for the machine learning course?

    All our course live classes are recorded for future reference by our students. The recordings for the class are available in your inbox, once you login to DeZyre’s learning management system (LMS) platform. You can learn through the recordings and reach out to the faculty if you have any doubts. You can also repeat any class in the subsequent machine learning course batches.

  • Does DeZyre provide placements?

    It is on a best effort basis that DeZyre helps you prepare for the interviews but does not guarantee placements.

  • How can I reach out to the faculty if I have doubts after the class?

    You can always ask doubts of the previous class in the subsequent class. Students can always connect with the faculty or also schedule a one-to-one call. Most of your doubts might get easily answered on the discussion forum. Still, if you have problem with the class then anytime you can repeat the class with other batches.


  • Does DeZyre offer any corporate or group discounts for the machine learning course?

    DeZyre offers corporate discounts for the online machine learning training based on the number of students enrolling for the course. Contact us by filling up the Request Info.  Form on the top of the machine learning training page. Our career counsellors will get back to you at the earliest and provide you with all the required details.

Articles on Machine Learning

Recap of Machine Learning News for February 2018

Machine Learning News - February 2018 ...

Recap of Data Science News for February 2018

Data Science News - February 2018 ...

Recap of Machine Learning News for January 2018

Machine Learning News - January 2018 ...

News on Machine Learning

Harvard uses machine learning for personalized control of wearable exosuits.NextBigFuture.com, March 6, 2018.

Harvard researchers have developed an efficient machine learning algorithm which can provide personalized control strategies for soft, wearable exosuits considerably improving the performance of the device. This new method is an effective and fast way to optimize control parameter settings for assistive wearable devices. Researchers have used the so-called human-in-the-loop optimization that uses real-time measurements of human physiological signals like breathing rate and adjusts the control parameters of the device. The algorithm directs the exosuit on when and where to deliver its assistive force to enhance hip extension. Using this method, they have seen a huge improvement in the metabolic performance for the wearers of a hip extension assistive device. (Source : https://www.nextbigfuture.com/2018/03/harvard-uses-machine-learning-for-personalized-control-of-wearable-exosuits.html)

Researchers develop AI platform that can learn like humans. PCMag.com, March 6, 2018.

Researchers at the University of Texas at San Antonio revealed a novel learning platform for AI referred to as the “Artificial Intelligence Thinking”. AI Thinking is a cloud based framework that teaches computers on how to learn like humans which is a great step towards creating intelligent machines. The new AI platform provides personalised learning experience based on automatic cognitive feedback from the students and renders content accordingly to enhance the interest of students and increase the learning rate. (Source : http://in.pcmag.com/artificial-intelligence/119553/news/researchers-develop-ai-platform-that-can-learn-like-humans)

A computer was trained to play Qbert and immediately broke the game in a way no human ever has.BusinessInsider.in, February 28, 2018

AI agents have become smart enough to find new technique that can help them win games which humans might never be able to find out such bizarre tactics and strategies. Machine learning researchers have trained a machine on how to play Qbert for Atari. For one of the games, the AI agent found a way on how to exploit a bug at different levels, made the entire stage flash and found ways to rack up upto 1 million points by playing the game in a random manner.One thing about the future of AI and Machine learning is clear : The machines are really good at playing games. (Source : https://www.businessinsider.in/A-computer-was-trained-to-play-Qbert-and-immediately-broke-the-game-in-a-way-no-human-ever-has/articleshow/63114978.cms )

Gartner Magic Quadrant: Who's Winning In The Data And Machine Learning Space. Forbes.com, February 28, 2018

Gartner says nearly half of the CTO’s are planning to deploy AI and Machine Learning this year. 46% of CIO’s have developed plans to deploy AI but only 4% have deployed.Three vendors that led the Gartners 2018 Magic Quadrant for Analytics and BI platform are - Microsoft, Tableau, and Qliktech. This year’s Gartner report saw some critical departures with ZoomData, ClearStory Data, Datameer, Alteryx and Pentaho no longer positioned on the report.(Source : https://www.forbes.com/sites/ciocentral/2018/02/28/gartner-magic-quadrant-whos-winning-in-the-data-machine-learning-space/#fa161457dab3 )

Algorithmia launches blockchain-based protocol for machine-learning algorithm shoppers.GeekWire.com, February 27, 2018

Machine learning researchers now have a new incentive to try and help the AI community : Cryptocurrency.Algorithmia launched a new protocol called DanKu that lets laypeople looking for complex machine learning models to post their data on the Etherium blockchain by helping them find a machine learning researcher who create a training model for their data.DanKu is a neural network which will evaluate various models that are submitted and reward the winning machine learning model with Etherium Cryptocurrency. The cryptocurrency rewards also provide an additional incentive to researchers by allowing them to participate in Algorithmia’s overall goal of democratizing access to ML expertise which resides in some of the world’s richest and largest tech companies.(Source : https://www.geekwire.com/2018/algorithmia-launches-blockchain-based-protocol-machine-learning-algorithm-shoppers/)

Machine Learning Jobs

Machine Learning/Artificial Intelligence

Company Name: Alien Vault
Location: Austin, Texas
Date Posted: 17th Jan, 2018
  • Collaborating with other members of the Engineering and DevOps teams to develop our SaaS security products. 
  • Work with the team on engineering best practices, standards, architectural approaches and complex technical resolutions for processes. 
  • Use Acceptance Test Driven Development (ATDD) efforts to ensure that deliverables are secure, scalable and reliable. 
  • Work closely with the Engineering Team Leaders to execute software engineering development cycles in an agile environment. 

Machine Learning Engineer

Company Name: Glocomms
Location: Greater New York City Area
Date Posted: 22nd Jan, 2018


  • End to End production of machine learning products
  • Thought leadership on all Machine Learning problems
  • Consulting with key stakeholders to implement new solutions
  • Thinking outside the box to make a better customer experience Mentor junior engineers

Machine Learning Engineer

Company Name: Allstate
Location: Northbrook
Date Posted: 11th Jan, 2018

Key Responsibilities:

  • Develops and adapts best practices to design and build medium complexity machine learning systems
  • Contributes to design and prototyping of medium to high complexity machine learning systems
  • Contributes to the realization of major machine learning technical capabilities in the industry by being responsible for the identification, research and software implementation of these capabilities
  • With some technical support, leads a technical team to implement machine learning solutions
  • Contributes to effort to revise cur...