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Principles of Machine Learning: R Edition

With the help of this course of data science, you will be provided complete details of the theory of machine learning joined hands-on experience and practical scenarios validating, building, and deploying the models of machine learning.

Self-Paced

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Microsoft

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Intermediate

Difficulty

48 Hours

Course Duration

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With the help of this course of data science, you will be provided complete details of the theory of machine learning joined hands-on experience and practical scenarios validating, building, and deploying the models of machine learning.

Course Information

About this course:

To run predictive models, machine learning uses systems that gain from existing information so as to estimate future outcomes, behaviors, and trends.

With the help of this course of data science, you will be provided complete details of the theory of machine learning joined hands-on experience and practical scenarios validating, building, and deploying the models of machine learning. You will figure out how to create and get experiences from these models utilizing R, and Azure Notebooks.

Course Objective:

  • Data preparation, exploration, and cleaning
  • Supervised the techniques of machine learning
  • Data Cleaning and Preparation.
  • Unsupervised the techniques of machine learning
  • Improvement of model performance
  • Principles of Model Improvement
  • Techniques for Improving Models
  • Overview of Machine Learning
  • High-Level Data Science Process
  • Exploratory Data Analysis for Classification
  • Exploratory Data Analysis for Regression
  • Dimensionality Reduction

Audience:

  • Programmers
  • Data Analyst

Prerequisite:

  • Some experience of programming – R is preferred.
  • An elementary understanding of math
  • A preparedness to learn through self-paced study.

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More Information
BrandMicrosoft
SubjectsApp Development
Lab AccessNo
TechnologyMicrosoft
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration48 Hours
LanguageEnglish

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Brian Hernandez
Web development Instructor

 

Brian Hernandez has been in the development field for over a decade. Brain works extensively with Full Stack Web Development, MEAN Stack, MEMR (Mango, Express, MySQL, React) Stack and other Modern Web Frameworks.

Brian is a consultant, and his company is currently catering to clients to want to improve their online presence or build one from scratch. He has worked with high profile companies, helping them move them to digital, both for in-housework, and for having a digital presence for their external stakeholders.

Brian also works as a web-development instructor and teaches everything starting from HTML/CSS basics to layout techniques, programming concepts (objects, arrays, loops etc.), JavaScript, jQuery, and responsive concepts and techniques.

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