Description
Overview:
Welcome to “Learn Machine Learning with R”! This comprehensive course is your essential resource for mastering machine learning techniques using the R programming language. With the increasing demand for data-driven insights, machine learning has become a crucial skill for data scientists and analysts. In this course, you’ll explore the fundamentals of machine learning algorithms and their implementation in R, empowering you to leverage data to make informed decisions and predictions.
Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases
Main Course Features:
Comprehensive coverage of machine learning algorithms and concepts
Hands-on projects and exercises to reinforce learning
Implementation of regression, classification, and clustering algorithms in R
Exploration of advanced techniques like ensemble learning and dimensionality reduction
Guidance on data preprocessing, feature engineering, and model evaluation
Best practices for model tuning and optimization in R
Real-world case studies and examples to illustrate machine learning applications
Access to a supportive online community for collaboration and assistance
Who Should Take This Course:
Data scientists, analysts, and professionals looking to enhance their machine learning skills with R
Students and researchers interested in exploring machine learning techniques with R
Anyone seeking to leverage data for making predictions and gaining insights
Learning Outcomes:
Master machine learning algorithms and techniques using R
Implement regression, classification, and clustering models for data analysis and prediction
Perform data preprocessing, feature engineering, and model evaluation in R
Explore advanced machine learning concepts like ensemble learning and dimensionality reduction
Optimize model performance through tuning and hyperparameter optimization
Apply machine learning techniques to real-world datasets for practical insights
Debug and troubleshoot machine learning models effectively in R
Stay updated with the latest advancements and trends in machine learning with R.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Curriculum
Section 01: Linear Regression and Logistic Regression
Section 02: Understanding Dataset
