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Machine Learning with R

Expert instruction

2 skill-building courses

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Self-paced

Progress at your own speed

Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning Certification training, master Machine Learning Concepts required for a Machine learning certification.

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25,484 already enrolled

What you will learn

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368+ hours of blended learning

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24 hours of self-paced, online learning

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Pandas for Data Analysis in Python

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4 industry-based course-end projects

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Interactive learning

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Blended learning

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Dedicated mentoring sessions from industry experts

Skills Covered

  • Supervised and unsupervised learning

  • Time series modeling

  • Kernel SVM

  • Hypothesis building

  • KMeans clustering

  • Naive Bayes

  • Decision tree

  • Deep Learning fundamentals

  • Boosting and Bagging techniques

About the Program

What you will learn


  • Learn to excel at R which makes machine learning, deep learning, and predictive analytics a piece of cake
  • Gain in-depth knowledge of the many techniques that can be applied to the Data at hand
  • Get equipped with the means to design beautiful charts and graphs using Python’s built-in Data visualization libraries like Seaborn and Matplotlib
  • Work with NumPy and SciPy, R mathematical computing libraries, which host a wide variety of mathematical and statistical tools
  • Use Scikit-learn to build models and realise Machine learning algorithms and techniques such as K-NN, dimensionality reduction, linear regression, logistic regression, clustering, and pipeline.
  • Use Pandas, R foremost Data Manipulation tool to manipulate seemingly gibberish data into something legible and presentable




What will I gain from this program?


This Applied Machine Learning with R Program aims to discover ways to make use of the Python language to scrub clean, analyze as well as visualize data. Through our guided lectures & labs, you will get hands-on experience tackling fascinating data issues and exploring data stories. This's an action-packed learning path for data science enthusiasts who wish to work with real-life problems with R. Be sure to take this particular learning road to solidify your data abilities with in R, prior to diving directly into machine learning, deep learning and big data in R.




What are the pre-requisites for this course?


This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.





Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Course Content

What you will learn


  • Learn to excel at R which makes machine learning, deep learning, and predictive analytics a piece of cake
  • Gain in-depth knowledge of the many techniques that can be applied to the Data at hand
  • Get equipped with the means to design beautiful charts and graphs using Python’s built-in Data visualization libraries like Seaborn and Matplotlib
  • Work with NumPy and SciPy, R mathematical computing libraries, which host a wide variety of mathematical and statistical tools
  • Use Scikit-learn to build models and realise Machine learning algorithms and techniques such as K-NN, dimensionality reduction, linear regression, logistic regression, clustering, and pipeline.
  • Use Pandas, R foremost Data Manipulation tool to manipulate seemingly gibberish data into something legible and presentable




What will I gain from this program?


This Applied Machine Learning with R Program aims to discover ways to make use of the Python language to scrub clean, analyze as well as visualize data. Through our guided lectures & labs, you will get hands-on experience tackling fascinating data issues and exploring data stories. This's an action-packed learning path for data science enthusiasts who wish to work with real-life problems with R. Be sure to take this particular learning road to solidify your data abilities with in R, prior to diving directly into machine learning, deep learning and big data in R.




What are the pre-requisites for this course?


This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.





WILL I GET CERTIFIED?

Upon successful completion of this Machine Learning with R.

  • EARN YOUR CERTIFICATE

  • SHARE YOUR ACHIEVEMENT

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Enrolling Now

 
SELF-PACED LEARNING

₹ 19,999

₹ 39,999

PROGRAM BENEFITS

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Lifetime access to high-quality self-paced elearning content curated by industry experts

10 real-world projects guided by industry experts

48% annual growth in job openings

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24x7 learner assistance and support

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368+ hours of online learning content

Career Impact

Over 500 Careers Transformed

1/7
52%

Average Salary Hike

500+

Jobs Sourced

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22LPA

Highest Salary

300+

Hiring Partners

Frequently asked questions

What is Machine Learning?


Machine learning is nothing but an implementation of Artificial Intelligence that allows systems to simultaneously learn and improve from past experiences without the need of being explicitly programmed. It is a process of observing data patterns, collecting relevant information, and making effective decisions for a better future of any organization. Machine learning facilitates the analysis of huge quantities of data, usually delivering faster and accurate results to extract profitable benefits and opportunities.




What are the different types of Machine Learning?


Machine learning is generally divided into three types - Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This Machine Learning course gives you an in-depth understanding of all these three types of machine learning.




How do beginners learn Machine Learning?


Machine learning is in high demand. But before you jump into certification training, it’s essential for beginners to get familiar with the basics of machine learning first. Simplilearn’s free resources articles, tutorials, and YouTube videos will help you get a handle on the concepts and techniques of machine learning. Start your learning with our free courses that serve as a foundation for this exciting and dynamic field: Statistics Essentials for Data Science, Math Refresher, and Data Science with Python.




Does Machine Learning require coding?


Yes, some coding knowledge is required to perform certain machine learning tasks like statistical analysis. Basic knowledge of either Python, R, or Java is recommended before taking this Machine Learning certification course.




Which companies use Machine Learning?


Major companies like Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal use ML.




Can I cancel my enrollment? Will I get a refund?


Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.




Do I need to leave my job for this program?


No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.




Will Bygrad help me with project completion?


There are two types of projects:

a. Practice projects: Your mentor will first do 3-4 projects for you and then you will do the next 5-6 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.




What if I miss a live online class?


In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.




What will be the training mode?


There are two training modes:

a. Self-paced: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. Mentor support will be provided.

b. Blended: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.