Machine Learning with Python and R Certification Training

Live Online & Classroom Certification Training

Python and R library that implements a range of machine learning tasks, preprocessing, cross-validation and visualization algorithms using various concepts. This course on Machine Learning Certification Training gives all the requisites for practical implementations of machine learning algorithm using an amazing language like Python and visualization tool like R.

Instructed by SPRINGPEOPLE

No Public/Open-house class on the topic scheduled at the moment!

Course Description


Machine Learning Online Course gives you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms. This course covers linear regression, K Nearest Neighbors, Clustering, SVM and neural networks using Python and R.


After the completion of this course, you will be able to:

  • Understand Machine Learning
  • Learn Data processing
  • Regression using Python and R
  • Classification using Python and R
  • Clustering using Python and R and many more..


Basic Knowledge in R and Python is mandatory. Hadoop skills are nice to have for this course

Course Curriculum

Expand All
  • What is Machine Learning?
  • Applications of Machine Learning
  • Why Machine Learning is the Future
  • Installing R and R Studio (MAC & Windows)
  • Installing Python and Anaconda (MAC & Windows)
  • Data Preprocessing
  • Importing the Libraries
  • Importing the Dataset
  • For Python learners, summary of Object-oriented programming: classes & objects
  • Missing Data
  • Categorical Data
  • Splitting the Dataset into the Training set and Test set
  • Feature Scaling
  • Simple Linear Regression
  • Dataset + Business Problem Description
  • Simple Linear Regression in Python
  • Simple Linear Regression in R
  • Multiple Linear Regression
  • Multiple Linear Regression in Python
  • Multiple Linear Regression in R
  • Polynomial Regression
  • Polynomial Regression in Python
  • Polynomial Regression in R
  • Support Vector Regression (SVR)
  • SVR in Python
  • SVR in R
  • Decision Tree Regression in Python
  • Decision Tree Regression in R
  • Random Forest Regression in Python
  • Random Forest Regression in R
  • Logistic Regression in Python and R
  • K-Nearest Neighbors (K-NN)
  • Support Vector Machine (SVM)
  • Kernel SVM
  • Naive Bayes
  • Decision Tree Classification
  • Random Forest Classification
  • Confusion Matrix
  • CAP Curve
  • K-Means Clustering in Python and R
  • Hierarchical Clustering in Python and R
  • Association Rule Learning in Python and R
  • Apriori
  • Upper Confidence Bound (UCB)
  • Thompson Sampling
  • Natural Language Processing in R
  • Natural Language Processing in Python
  • Artificial Neural Networks in Python and R
  • Convolutional Neural Networks in Python and R


SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.



About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More

Course Rating and Reviews


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SPRINGPEOPLE SpringPeople Trainer


Course Material:
Class Experience:
The trainer was pretty new to the training and the class was not helpful. Not at all recommended. Failed to satisfy my requirements

SPRINGPEOPLE SpringPeople Trainer

Satheesh Viswanathan

Course Material:
Class Experience:
As the course focuses more towards the certification, the difficulty level of the labs & exercises could have been increased.

SPRINGPEOPLE SpringPeople Trainer

Deepak Kodigepalli

Course Material:
Class Experience:
Wifi connectivity was a bit slow and were experiencing intermittent disconnects

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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