Learn Machine Learning with R
Learn Machine Learning with R
- Interactive video lectures by industry experts
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- 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
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 insightss
- Debug and troubleshoot machine learning models effectively in R
- Stay updated with the latest advancements and trends in machine learning with R.
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
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. 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.
Course Curriculum
Working on Linear Regression 
00:16:00
Equation 00:12:00
Making the Regression of the Algorithm 00:06:00
Basic Types of Algorithms 00:13:00
predicting the Salary of the Employee 00:16:00
Making of Simple Linear Regression Model 00:08:00
Plotting Training Set and Work 00:17:00
Multiple Linear Regression 00:13:00 Dummy Variable Concept 00:07:00 Predictions Over Year 00:10:00 Difference Between Reference Elimination 00:10:00 Working of the Model 00:13:00 Working on Another Dataset 00:14:00 Backward Elimination Approach 00:16:00 Making of the Model with Full and Null 00:12:00
Student Ratings & Reviews
