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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


29
Apr
Sat and Sun(6 weeks)
7:00 AM - 10:00 AM PST
$67/month
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

 

29th Apr

  • 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 March 2018


Machine Learning News - March 2018   ...

Recap of Data Science News for March 2018


Data Science News - March 2018 ...

Recap of Machine Learning News for February 2018


Machine Learning News - February 2018 ...

News on Machine Learning

Researchers use machine learning to quickly detect video face swaps.engadget.com, April 11, 2018


AI can be used to swap faces in photos and videos. However, many people are making misuse of this tool by face-swapping people into pornographic videos. The team at Technical University of Munich have developed a machine learning algorithm which can identify forged videos as soon as they are posted online.XceptionNet machine learning algorithm has been trained with a large set of face swaps created from the largest database of these kinds of images available.XceptionNet outperforms other rival techniques in identifying and detecting fake videos and photos thereby enhancing the quality of the forgeries.(Source : https://www.engadget.com/2018/04/11/machine-learning-face-swaps-xceptionnet/ )

This Brewery Is Using Machine Learning to Create the Ideal IPA.FoodandWine.com, April 11, 2018


Charlottesville’s Champion Brewing company recently partnered with Metis Machine to brew their new ML IPA—a computer’s vision of what should essentially be the ideal IPA. Champion provided Metis with the parameters on which IPA’s are decided at the Great American Beer Festival (SRM, ABV, IBU) and the range was matched with the 10 worst selling IPA’s at a local retailer and 10 best-selling IPA’s nationally. Champion brewing company is the first one to use machine learning for generating a beer recipe.(Source : http://www.foodandwine.com/news/champion-brewing-ipa-machine-learning)

'Machine learning is the big one': Deloitte expert looks to the future of tech trends. Cnbc.com, April 11, 2018.


Duncan Stewart, the director of the very narrow field of machine learning said that - “Machine Learning is the big one, not AI.AI is a very broad field.” Deloitte predicts that there would be a significant progress in mobile device usage, augmented reality and sophisticated chips.However, the most dominant tech trend of all this will be machine learning when programs will predict things using large volume of data without having to be explicitly programmed.Deloitte predicts that the business use of machine learning would double in 2018 when compared to the previous year and again it is likely to double by 2020. This exponential growth in the use of machine learning is already worth tens of billions of dollars in size. (Source : https://www.cnbc.com/2018/04/10/machine-learning-is-the-big-one-deloitte-expert.html)

Machine Learning At Google: The Amazing Use Case Of Becoming A Fully Sustainable Business.Forbes.com, March 28, 2018.


With the data centers accounting for 2% of the global energy usage , maintaining efficiency across its individual network of 14 major hubs has always been a priority for Google. The complex nature of The complex nature of the equipment implies that there are billions of possible configurations of servers , chillers , cooling towers, heat exchangers and control systems. The metric used by Google to rate energy efficiency in data centers Power Usage Effectiveness (PUE) is complex for even highly trained Google data center engineers to work out amd optimize for. Google’s engineer Jim Gao turned to machine learning to optimize data center cooling. Machine learning is powerful tool to optimize cooling infrastructure in data centers, consider about 10 devices each having 10 settings , that’s probably 10 billion potential configurations something which humans cannot optimize but machine learning can.The result from machine learning has helped Jim and his team get a further 40% reduction in the overall amount of energy used for cooling the data center. (Source : https://www.forbes.com/sites/bernardmarr/2018/03/28/machine-learning-at-google-the-amazing-use-case-of-becoming-a-fully-sustainable-business/#4a226a2759bc)

Three Ways Machine Learning Is Improving The Hiring Process.Forbes.com, March 26, 2018.


Machines are smarter in making hiring processes more efficient. Machine learning adds value by processing job applications faster than human beings thereby reducing the time taken to recruit and hire new talent. Following are three important ways machine learning is helping organizations improve the hiring process - i) Hiring managers need not dig through applications from hundreds of candidates manually to find the best fit. Machine learning provides intelligent recommendations to hiring managers on the candidates who can be an ideal fit for a given job roles. This makes the hiring process easier and efficient for both recruiters and job seekers. ii) Machine learning helps eliminate bias as the algorithms emphasize on skill based data and not on the universities from where a candidate has studied or the companies they have worked for or gender. iii) Machine learning can help create awareness around preferences of recruiters and hiring managers. (Source : https://www.forbes.com/sites/forbestechcouncil/2018/03/26/three-ways-machine-learning-is-improving-the-hiring-process/#7ec5b2a790e8)

Machine Learning Jobs

Software Engineer, Machine Learning

Company Name: Facebook
Location: Menlo Park, CA
Date Posted: 24th Mar, 2018
Description:
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

  • Suggest, collect and synthesize requirements and create effective feature roadmap

  • Code deliverables in tandem with the engineering team

  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Machine Learning Engineer

Company Name: Quicken Loans
Location: Detroit , MI
Date Posted: 26th Mar, 2018
Description:

* Work with Data Scientists and Business Analysts to frame problems within a business context.
* Build data pipelines that pull data from various sources
* Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
* Develop services that host the trained models and work with other application teams to integrate them into business processes
* Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect dom...

Machine Learning/Artificial Intelligence

Company Name: Alien Vault
Location: Austin, Texas
Date Posted: 17th Jan, 2018
Description:
  • 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.