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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


11
Feb
Sat and Sun(6 weeks)
7:00 AM - 10:00 AM PST
$399

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

 

11th Feb

  • 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
 

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 December 2017


Machine Learning News - December 2017 ...

Recap of Data Science News for December 2017


Data Science News - December 2017 ...

Recap of Machine Learning News for November 2017


Machine Learning News - November 2017 ...

News on Machine Learning

Why Machine Learning Needs GPUs ? Motherboard.vice.com, January 9, 2018.


There is no magic to machine learning, it is all math. The basic idea behind machine learning is very simple and it is all about optimization. Given a long equation with several variables, you need to come up with reliable way of tweaking these variables in such a way that the equation gives out reliable predictions.It might appear to be a conceptually simple question to ask but the computing is labor-intensive. The important thing to understand with machine learning is that it involves crunching big matrices of numbers and this is what happens with graphics processing where the matrices instead refer to pixels.Machine learning algorithms tend to work faster just with the addition of more processor cores within a GPU.This is the reason GPU’s are extremely important to machine learning, and increasingly, vice versa.(Source : https://motherboard.vice.com/en_us/article/kznnnn/why-machine-learning-needs-gpus )

Verizon acquires machine learning-based threat detection startup Niddel. Siliconangle.com, January 8, 2018.


Verizon acquired a startup Niddel Corp. that offers a threat-hunting platform that is based on machine learning technology. This acquisition will help Verizon enhance the security of its enterprise network products. Niddel has subscription based service known as Niddel Magnet that makes use of machine learning and identifies threats in customer networks.It uses machine learning to improve information accuracy considerable and reduce false positives to significantly improve detection and response capabilities of Verizon’s enterprise network products.Niddel’s capabilities will be added to Verizon's network and gateway security , incident response and security monitoring tools.(Source : https://siliconangle.com/blog/2018/01/07/verizon-acquires-machine-learning-based-threat-detection-startup-niddel/)

Facebook’s Expanding Machine Learning Infrastructure. Thenextplatform.com, January 8, 2018.


Facebook has made notable progress in fine tuning it data centers. Facebook is focusing on infrastructure right from its distinct split network backbone, neural network based viz system , to large scale upgrades being made to its server farms.One of the major developments in Facebook infrastructure is its own server designs that use latest GPU packed open compute based approach and serve more than 2 billion accounts . The company’s infrastructure Big Basin system that was unveiled last year has been a great success as it can train machine learning models that are 30% larger because of the availability of larger arithmetic throughput and increase in memory from 12GB to 16GB. The shift to Big Basin system has helped Facebook gain 300% enhancement in throughput over Big Sur system. However, the machine learning infrastructure at Facebook still consists of CPU and GPUs only as they are sticking to its Nvidia and Intel guns for the time being.(Source : https://www.nextplatform.com/2018/01/08/facebooks-expanding-machine-learning-infrastructure/)

LinkedIn: Machine learning jobs are on the rise. SDTimes.com, December 27, 2017.


According to a recently released report by LinkedIn, data scientists, machine learning engineers and big data engineers are the top emerging tech jobs. These growing tech jobs are mostly in urban areas that include New York, Los Angeles, and San Francisco. There is also an increase in freelancers with major hiring in Oregon, California and New York. The LinkedIn report also finds that there is a decline in specialized roles as organizations are looking to hire machine learning engineers and data scientists with a more comprehensive skill set . (Source: https://sdtimes.com/big-data-engineers/linkedin-machine-learning-jobs-rise/ )

Machine learning will not replace people in all jobs: Study. Economictimes.com, December 26, 2017.


Researchers from Carnegie Mellon University and Massachusetts Institute of Technology (MIT) in US have found 21 factors to find out whether a task or a job is amenable to machine learning (ML). The study has found that machine learning systems just get better with experience and can outperform humans but they are highly unlikely to replace people in all jobs. It would be difficult to predict how machine learning will affect a specific job or profession because ML automates individual tasks and not all tasks are amenable to machine learning approach.A research found that machine learning could detect skin cancers better than dermatologists could do but this does not mean that machine learning can replace dermatologists because the job of dermatologists is not just evaluating lesions.Rather with the use of ML in detecting skin cancers, dermatologists will become better as they can spend more time with patients. Machine learning can definitely be a game changer for various tasks but that does not mean it can replace people in all jobs. (Source: https://economictimes.indiatimes.com/jobs/machine-learning-will-not-replace-people-in-all-jobs-study/articleshow/62253196.cms )

Machine Learning Jobs

Machine Learning/Data Scientist

Company Name: Booz Allen Hamilton
Location: McLean, VA, USA
Date Posted: 09th Jan, 2018
Description:
  • Work as a key researcher and R&D engineer on a growing team of elite scientists who investigate and solve challenging, data fusion problems.
  • Use R&D experience to develop and implement biometric and data fusion techniques through algorithm and software or script development, and the use of existing data fusion tools.
  • Collaborate with experienced subject-matter experts and technical or project managers to develop cutting edge technology to fill data fusion capability gaps that can withstand rigorous scientific vali...

Sr. Machine Learning Engineer

Company Name: Barracuda Sentinel
Location: Campbell, California
Date Posted: 09th Jan, 2018
Description:
  • Analyze vast amounts of email data to identify fraud and devise innovative algorithms to detect it in real-time
  • Build and train machine learning classifiers to detect email fraud with high precision and recall
  • Evaluate the performance of your algorithms and continuously optimize them
  • Collaborate with an elite team of software engineers to scale your algorithms and bring them to production
  • Work with cutting edge technologies in a fast paced environment

Machine Learning Software Engineer

Company Name: Lenovo
Location: Raleigh, NC
Date Posted: 27th Dec, 2017
Description:

Responsibilities -

• Work within the Machine Learning Team to improve existing code, design new code, train, test, deploy and iterate to production.
• Write Python production ready code for machine learning applications.
• Build, design and develop solutions for real world, large scale problems with the understanding of Machine learning algorithms.
• Analyze and extract relevant information from large amounts of user data to improve our existing systems and our user's experie...