Cluster Analysis & Unsupervised Machine Learning in R
What you'll learn
- Your complete guide to unsupervised learning and clustering using R-programming language
- It covers both theoretical background of UNSUPERVISED MACHINE LERANING as well as practical examples in R and R-Studio
- Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning
- Highly practical data science examples related to unsupervised machine learning and clustering
- Be Able To Harness The Power Of R For Practical Data Science
- You will have a glimpse on the power of cloud computimg with Google services (i.e. Earth Engine)
- It covers a real-world application of K-means clustering for mapping tasks in UAE
- Improve your R-programming and JavaScript coding skills
- Implement Unsupervised Clustering Techniques Such As k-means Clustering and Hierarchical Clustering
- Apply your newly learned skills to your independent project
- Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
- Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
Requirements
- Availabiliy computer and internet
- R-programming skills is NOT a requirement, but would be a plus
Description
Here's why enrolling in this course is a smart choice:
This comprehensive course will serve as your ultimate guide to unsupervised learning and clustering techniques, utilizing the R-programming language and JavaScript.
In addition to practical demonstrations of R-scripts, this course delves into the theoretical foundations of unsupervised machine learning, providing you with a deep understanding of concepts such as K-means and Hierarchical clustering.
You'll gain expertise in various aspects of practical data science related to unsupervised machine learning and clustering, saving you valuable time and resources compared to other expensive materials in the field of R-based data science.
Unlocking Opportunities:
In today's era of big data, organizations worldwide harness the power of R and Google Cloud Computing Services for data analysis in business and research. Mastering unsupervised learning in R can give your career a significant boost and provide your company with a competitive edge. Moreover, you'll explore the capabilities of cloud computing using Google services like Earth Engine, applying unsupervised K-means learning to real-world mapping applications.
Course Content:
This course comprises eight comprehensive sections, covering every facet of unsupervised machine learning, from theory to practice:
Gain a solid grasp of Machine Learning, Cluster Analysis, and Unsupervised Machine Learning from theory to practical application.
Leverage the potential of unsupervised learning, including cluster analysis, both in R and with Google Cloud Services.
Dive into Machine Learning, Supervised Learning, and Unsupervised Learning within the R environment.
Complete two independent projects focusing on Unsupervised Machine Learning, one in R and the other using Google Cloud Services.
Implement Unsupervised Clustering Techniques, including K-means Clustering and Hierarchical Clustering, among others.
No Prior Knowledge Required:
This course is designed for learners with no prior experience in R or statistics/machine learning. It begins with fundamental R Data Science concepts and gradually progresses to more complex topics. You'll work with real data from various sources, including a real-life project on Google's cloud computing platform. All scripts and data used in the course will be provided, making your learning journey smooth and practical.
Unique Approach:
This course stands out from other training resources due to its hands-on, easy-to-follow methods, which simplify even the most complex R concepts. Each lecture aims to enhance your data science and clustering skills, empowering you with practical solutions. By the end of the course, you'll confidently analyze diverse data streams for your projects, earning recognition from future employers for your advanced machine learning expertise and knowledge of cutting-edge data science techniques.
Target Audience:
Ideal for professionals needing to use cluster analysis, unsupervised machine learning, and R in their field, this course offers valuable insights and skills essential for success.
Practical Exercises:
Engage in practical exercises where you'll receive precise instructions and datasets to implement machine learning algorithms using R and Google Cloud Computing tools.
Enroll Now:
Join this course today to embark on a transformative journey in the realm of unsupervised machine learning and clustering.
Who this course is for:
- The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
- Everyone who would like to learn Data Science Applications In The R & R Studio Environment
- Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data
Instructors
- 4.3 Instructor Rating
- 5,181 Reviews
- 92,834 Students
- 34 Courses
Welcome to the World of Geospatial & Data Science Education!
Are you ready to embark on an exciting journey into the realms of GIS, Remote Sensing, Machine Learning, and Data Science? I'm your dedicated instructor, a passionate data science expert and educator, committed to providing you with a world-class education in these highly applied and captivating fields.
About Me:
With a wealth of experience in teaching and training around the globe, I've had the privilege of educating numerous students who have achieved remarkable success. Now, I'm thrilled at the opportunity to share my expertise with you.
For Aspiring GIS & Remote Sensing Enthusiasts:
I understand that choosing the right path to acquire knowledge is crucial, and I've designed a structured learning journey for you. You have two options to tailor your educational experience according to your needs and preferences.
Option 1: In-Depth Exploration
If you're keen on delving deep into each topic with comprehensive details and hands-on labs, here's the recommended order for taking my individual courses:
- Get started with GIS & Remote Sensing in QGIS #Beginners
- Remote Sensing in QGIS: Fundamentals of Image Analysis 2020
- Core GIS: Land Use and Land Cover & Change Detection in QGIS
- Machine Learning in GIS: Understand the Theory and Practice
- Machine Learning in GIS: Land Use/Land Cover Image Analysis
- Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS
- Object-based image analysis & classification in QGIS/ArcGIS
- ArcGIS: Learn Deep Learning in ArcGIS to advance GIS skills
- QGIS & Google Earth Engine for Environmental Applications
- Advanced Remote Sensing Analysis in QGIS and on cloud
- Explore specialized courses focused on specific Remote Sensing applications in my course list.
Option 2: Comprehensive Combi-Courses
For a more consolidated approach, where you receive summarized information from the individual courses, along with fewer details (labs and videos), you can opt for the following combi-courses:
- QGIS Mega Course: GIS and Remote Sensing - Beginner to Expert
- Geospatial Data Analyses & Remote Sensing: 4 Classes in 1
- Machine Learning in GIS and Remote Sensing: 5 Courses in 1
- Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
- Google Earth Engine for Machine Learning & Change Detection
Data Science with Geospatial Analysis Bundle:
This bundle comprises a selection of courses that will empower you to excel in the world of Data Science while leveraging the insights gained from geospatial analysis:
- Geospatial Data Analyses & Remote Sensing: 4 Classes in 1
- Machine Learning in GIS and Remote Sensing: 5 Courses in 1
- Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
- Google Earth Engine for Machine Learning & Change Detection
Your Journey Starts Here:
No matter which path you choose, you're embarking on an enriching educational journey that will equip you with the knowledge and skills needed to excel in the world of GIS, Remote Sensing, Machine Learning, and Data Science. Let's get started on this exciting adventure together!
Join me in unlocking the endless possibilities of geospatial analysis, remote sensing, machine learning, and data science. Enroll in your preferred course or bundle today.
- 4.3 Instructor Rating
- 1,241 Reviews
- 45,063 Students
- 10 Courses
Ich bin ein erfahrener Berater und Experte in Data Science. Ich habe mein MSc in Informatik an der TH Köln und MBA an der Universität Durham (UK) erlangt und habe mich später im Fachbereich Informatik promoviert. Als erfahrene Trainer mit mehr als 15 Jahren Berufserfahrung möchte ich meine Leidenschaft, praktische Erfahrungen und Kenntnisse in den Themen Big Data, Data Science, Data Analytics und IT management mit den anderen teilen und die praktische Kompetenzen von meinen Studenten auf ein sehr hohes Niveau bringen.