MACHINE LEARNING WITH R TRAINING

Machine Learning (ML) is a different approach where the computer learns the rules of solving complex problems without explicitly programmed. Machine Learning algorithms are at the core and important piece of data science.

This course - Machine Learning with R, is designed to provide a holistic understanding of various ML algorithms with high-level theory and hands-on application of ML algorithms to classic data sets.

MACHINE LEARNING WITH R TRAINING Training Cost

Classroom

  • 5-Day(3 weekend) Intensive Program
  • 3 Months Live Project Mentoring
60000
30000

Live Virtual

  • 50 Hrs Live Virtual Intensive Program
  • 3 Months Live Project Mentoring
54000
29000

Self Learning

  • 1 Year Access to Elearning content
  • 3 Months of Live Project Mentoring
30000
15000

CLASSROOM TRAINING SCHEDULES NEAR BY

Machine Learning Success Stories

Description

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicity programmed. Machine Learning algorithms are at the core and important piece of data science.

This course - Machine Learning with R, is designed to provide a wholistic understanding of various ML algorithms with high level theory and hands on application of ML algorithms to classis data sets.

  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.

This course is a foundation level course, so most of the aspiring Machine Learning candiates can opt for this course

 

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Senior professionals, who want gain solid foundation on Machine Learning to manager Data Science projects
  • Candidates pursuing Data Scientist tracks

This course provides a solid foundation in Machine Learning as the syllabus is aligned with international market requirements. The candidates attending this course gain a right perspective on ML rather than getting lost in the ocean of articles and tutorials on the internet. As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of their ML knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

Syllabus

  • R LanguageProgramming Basics
  • R languageData Types
  • Structures and conditional statements
  • Introduction to R Studio
  • Data filtering and selecting
  • Data Mugging techniques in R
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model

FAQ'S

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Machine Learning Interview Questions

Machine Learning Projects

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