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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


27
May
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

 

27th May

  • 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 April 2018


Machine Learning News - April 2018 ...

Recap of Data Science News for April 2018


Data Science News - April 2018 ...

Recap of Machine Learning News for March 2018


Machine Learning News - March 2018   ...

News on Machine Learning

Nearly 18,000 Competitors Convene in Fourth Data Science Bowl, Using AI To Accelerate Life-Saving Medical Research. BusinessWire.com, May 8, 2018


Data Science Bowl is a 90 day competition where data scientists come together to solve some of the most challenging problems of the world. This year Data Science Bowl hosted 18,000 participants across the globe who worked 288,000 hours and submitted 68,000 algorithms to automate the detection of nuclei which is a time consuming but vital process. Detection of nuclei will allow researchers to locate each cell in the sample and how they respond to numerous treatments. With the help of these algorithms biologists can focus on many other aspects of their research. This will also help in developing new drugs which currently take around 10 years to be released in the market. (Source- https://www.businesswire.com/news/home/20180508005977/en/18000-Competitors-Convene-Fourth-Data-Science-Bowl)

ML Kit: Google brings machine learning APIs to mobile developers. Infoworld.com,May 8 2018


Google has released a machine learning Kit which is in its beta stage. It currently supports iOS and Android through Firebase IDE and TensorFlow Lite. Using this ML Kit, developers can leverage the power of Google’s machine learning capabilities in their mobile apps. Following are some of the API’s available in ML Kit 1) Barcode Scanning 2) Text Recognition 3) Face Detection 4) Image Labeling to identify objects 5) Landmark Detection (Source- https://www.infoworld.com/article/3270731/machine-learning/ml-kit-google-brings-machine-learning-apis-to-mobile-developers.html )

Waymo uses machine learning to help self-driving cars see through snow. Cnet.com, May 8 2018


The time is not far, when we can sit and relax in the car in the busiest of hour and it is automatically slicing its way into the traffic. Many companies are focusing on self-driving nowadays, and they have been pretty much successful in different conditions. But the most challenging test for the self-driven cars is in winters when all the sensors get covered in the ice. But Waymo, recently was able to pass that test too. They have developed an algorithm using Machine Learning which converts the large deposits on ice to noise, which is then filtered out. This helps their self-driving car to identify the parked vehicles too and continue its route in the snowy climatic conditions. (Source - https://www.cnet.com/roadshow/news/waymo-machine-learning-self-driving-cars-snow/ )

How Machine Learning is used to detect fraud ? ComputerWeekly.com, April 27, 2018.


Fraud Detection is a popular machine learning use case that has garnered the attention of various organizations.San-Francisco based payment technology company Stripe believes that it has the technology required to detect fraud.Stripe has been gaining popularity in the market for having blocked $4 billion worth fraudulent transactions. Stripe’s underlying technology does not require merchants to review each transaction and write rules but instead uses machine learning for heavy -lifting. The machine learning algorithms takes into account multiple tell-tale signs to detect fraud such as buying an item in multiple sizes, pasting credit card details instead of typing them and the number of different credit card used by people over a period of time. (Source - https://www.computerweekly.com/blog/Eyes-on-APAC/How-machine-learning-is-used-to-detect-fraud )

Top Countries Hiring Most Number Of Artificial Intelligence, Machine Learning Experts.AnalyticsIndiaMag.com, April 25, 2018.


According to the popular job portal Indeed, the demand for AI and machine learning skills has doubled in the last 3 years and the number of job postings have increased by 119% as a share of all other job postings. United States attracts the major AI and Machine Learning talent. US is expected to have 2,50,000 open data science jobs by 2024 with top recruiters being Amazon, Microsoft, Google, Facebook, Intel, General Electric and more. After US, Canada is the next best place for AI and Machine Learning experts to work for. Indeed report finds that the demand for AI and Machine learning skills in Canada have grown by 1069% since 2013 with global tech companies like DeepMind, Microsoft, Facebook and Google setting up research labs in Canada. India is expected to see 60% rise in the number of AI and ML jobs this year due to increased adoption of automation. (Source -https://analyticsindiamag.com/top-countries-hiring-most-number-of-artificial-intelligence-machine-learning-experts/ )

Machine Learning Jobs

Machine Learning Engineer

Company Name: eXplorance
Location: Montreal, CA
Date Posted: 10th May, 2018
Description:

 

What you will do as our new Machine Learning Engineer

  • Design and implement highly scalable Machine Learning infrastructure that powers models across multiple products.
  • Collaborate with the product management teams, architects, and data scientists to craft and implement innovative machine learning concepts and models.
  • Understand and help maintain our products data structures.
  • Build supervised and unsupervised learning models with existing data sets.
  • Understand active field researches.
  • Deploy machine learning solut...

Machine Learning Engineer

Company Name: Doximity
Location: San Francisco
Date Posted: 22nd Apr, 2018
Description:

Roles and Responsibilities 

  • Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.
  • Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.
  • Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.
  • Improve the accuracy, runtime...

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)