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Decision Tree Modeling Using R Training Overview
Decision Tree Modeling Using R Training Course Outline
Module 1: Introduction to Decision Tree
- Decision Tree Modelling Objective
- Anatomy of a Decision Tree
- Important Terminology Related to Decision Trees
Module 2: Overview of R Programming
- R Programming Language
- Data Types
- Control Structures in R
Module 3: Data Treatment Before Modelling
- Data Sanity Check-Contents
- View
- Frequency Distribution
- Uni-Variate
- Categorical Variable Treatment
Module 4: Classification of Tree Development and Algorithm Details
- Installing R Package and R studio
- Developing First Decision Tree in R Studio
- Find Strength of the Model
Module 5: Decision Tree Analysis in Project Management
- Use Decision Tree in Project Management
- Tools for Decision Tree Analysis
- Decision Tree Analysis Strategy
Module 6: Regression Tree and Auto Pruning
- Introduction to Pruning
- Understand K Fold Validation for Model
- Develop Regression Tree
- How is it Different from Linear Regression?
- Advantages and Disadvantages over Linear Regression
Module 7: CHAID Algorithm
- What is CHAID/CART Algorithm?
- Chi-Square Statistics
- Implement Chi-Square for Decision Tree Development
- CHAID Vs CART
Module 8: Other Algorithms
- ID3
- Random Forest Method
- Using R for Random Forest Method
Who should attend this Decision Tree Modelling Using R Training?
The Decision Tree Modelling Using R Training Course offers a detailed exploration of Decision Tree models, one of the most widely used algorithms in Machine Learning and Data Science. This course can be beneficial for various professionals, including:
- Data Scientists
- Machine Learning Engineers
- Data Analysts
- Research Scientists
- Quantitative Researchers
- Risk Assessment Managers
- Predictive Modelers
Prerequisites of the Decision Tree Modelling Using R Training Course
There are no formal prerequisites for attending this Decision Tree Modelling Using R Training Course. However, having some knowledge of the R programming language will be helpful.
Decision Tree Modelling Using R Training Course Overview
Decision Tree Modelling Using R is a formidable analytical technique with wide-ranging applications across diverse industries, including finance, automotive, and telecommunications. It serves as a powerful tool for making data-driven decisions, enabling businesses to navigate complex scenarios and optimise outcomes.
Proficiency in Decision Tree Modelling Using R is essential for professionals seeking to enhance their data science skills and make informed decisions rooted in data analysis. Data Scientists, Business Analysts, Financial Experts, and professionals in various industries can greatly benefit from mastering this technique. In an era where data-driven decision-making is paramount, Decision Tree Modelling equips professionals with the ability to dissect data, identify patterns, and derive actionable insights.
The Knowledge Academy’s intensive 1-day Decision Tree Modelling Using R Certification Course immerses delegates in a comprehensive exploration of Decision Tree Modelling concepts. They will embark on a journey starting from the fundamentals of Decision Trees, progressing to advanced topics such as data design for modelling, algorithm details, industry best practices, validation techniques, and practical applications using the R programming language.
Course Objectives
- To understand the fundamentals of Decision Tree Modelling
- To learn data treatment and frequency distribution techniques
- To explore Decision Tree algorithm development and pruning
- To gain expertise in advanced topics like Random Forest and CHAID Algorithm
- To acquire practical skills in using R for Decision Tree Modelling
- To become proficient in applying Decision Tree Modelling to real-world scenarios
By the end of this course, delegates will emerge with expertise in Decision Tree Modelling using R, empowering them to leverage this powerful tool for data analysis and informed decision-making.
What’s included in this Decision Tree Modelling Using R Training?
- World-Class Training Sessions from Experienced Instructors
- Decision Tree Modelling Using R Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Decision Tree Modeling Using R Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Decision Tree Modeling Using R Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
What our customers are saying
Decision Tree Modeling Using R Training FAQs
Please arrive at the venue at 8:45am.
Basic knowledge of R programming language required before attending this course.
This training course is ideal for anyone; however, Professionals and Students who want to enter the Analytics Industry. This course is also ideal for Analytics Professionals and Data Mining Professionals.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Decision Tree Modeling Using R Trainingin Hong Kong starts from HKD12595
The Knowledge Academy is the Leading global training provider for Decision Tree Modeling Using R Training.
Please see our Data Science Courses courses available in Hong Kong
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Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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