Drive Team Excellence with Machine Learning With R Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Machine Learning With R Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Machine Learning with R refers to applying machine learning algorithms and techniques using the R programming language. ML with R offers organizations a powerful toolkit for data analysis, predictive modeling, and decision-making. This training provides comprehensive guidance and practical experience, ensuring professionals have the knowledge and skills necessary to apply machine learning techniques effectively.

Edstellar instructor-led  Machine Learning with R course offers a unique blend of virtual/onsite training options, allowing flexibility to accommodate various learning preferences and logistical constraints. The course content is also customizable to address specific organizational needs and objectives, ensuring relevance and applicability. professionals benefit from hands-on practical experience, working on real-world projects and case studies to reinforce learning outcomes and gain valuable insights.

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Delivery Capability Across 100+ Countries & 10+ Languages
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Key Skills Employees Gain from instructor-led Machine Learning With R Training

Machine Learning With R skills corporate training will enable teams to effectively apply their learnings at work.

  • Custom Algorithm Development
    Custom Algorithm Development involves creating tailored algorithms to solve specific problems. this skill is important for data scientists and software engineers to optimize solutions and enhance performance.
  • Data Visualization with R
    Data Visualization With R is the ability to create graphical representations of data using R programming. this skill is important for data analysts and scientists to effectively communicate insights and trends, enabling informed decision-making.
  • Data Preprocessing Automation
    Data Preprocessing Automation involves streamlining data cleaning and transformation processes. This skill is important for data analysts and scientists to enhance efficiency, accuracy, and insights.
  • Statistical Analysis
    Statistical Analysis involves collecting, interpreting, and presenting data to identify trends and patterns. This skill is important for data-driven roles, enabling informed decision-making and strategic planning.
  • Machine Learning with R Programming
    Machine Learning With R Programming involves using R to develop algorithms that enable computers to learn from data. This skill is important for data scientists and analysts, as it enhances predictive modeling and data-driven decision-making.
  • Business Forecasting
    Business Forecasting is the process of predicting future business conditions based on historical data and trends. This skill is important for roles in finance, marketing, and operations, as it enables informed decision-making, resource allocation, and strategic planning.

Key Learning Outcomes of Machine Learning With R Training Workshop for Employees

Upon completing Edstellar’s Machine Learning With R workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • Develop predictive models that can forecast business outcomes, identify customer trends, and optimize operational processes, utilizing R's extensive suite of statistical and machine learning libraries
  • Implement various data mining and statistical techniques to uncover hidden patterns in large datasets, thereby informing strategic decision-making and revealing actionable insights
  • Apply R programming to create custom algorithms for classification, regression, clustering, and anomaly detection tasks tailored to specific industry needs, enhancing accuracy and efficiency
  • Leverage R's powerful data visualization libraries to create intuitive and interactive graphs and charts, enabling stakeholders to understand complex data analyses and model predictions easily
  • Automate data cleaning, preparation, and preprocessing workflows in R, improving data quality and ensuring models are trained on accurate and relevant information

Key Benefits of the Machine Learning With R Group Training

Attending our Machine Learning With R group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • ​​​​​​Upskill your teams by providing them with the latest tools and methodologies for machine learning in R
  • Develop expertise in preprocessing, modeling, and evaluating data through interactive learning sessions
  • Equip your team with practical knowledge and hands-on experience in implementing machine learning algorithms using R
  • Learn advanced machine learning techniques and R programming skills to tackle complex data analysis challenges with confidence

Topics and Outline of Machine Learning With R Training

Our virtual and on-premise Machine Learning With R training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

  1. Machine learning languages, types, and examples
    • Introduction to machine learning languages
    • Types of machine learning
    • Examples of machine learning applications
  2. Machine learning vs statistical modeling
    • Comparing machine learning and statistical modeling
    • When to use machine learning or statistical modeling
  3. Supervised vs unsupervised learning
    • Definition and differences
    • Applications and examples
  4. Supervised learning classification
    • Introduction to classification in supervised learning
    • Common classification algorithms
  5. Unsupervised learning
    • Exploring unsupervised learning algorithms
    • Applications of unsupervised learning
  1. K-nearest neighbors
    • How do k-nearest neighbors work?
    • Choosing the right k value
  2. Decision trees
    • Basics of decision trees
    • How to build and prune decision trees?
  3. Random forests
    • Understanding random forests
    • Building a random forest model
  4. Reliability of random forests
    • Assessing the reliability
    • Improving model reliability
  5. Advantages & disadvantages of decision trees
    • Benefits of using decision trees
    • Limitations and considerations
  1. Regression algorithms
    • Types of regression algorithms
    • Applying regression in supervised learning
  2. Model evaluation
    • Introduction to model evaluation
    • Common evaluation metrics
  3. Model evaluation: Overfitting & underfitting
    • identifying overfitting and underfitting
    • Strategies to avoid them
  4. Understanding different evaluation models
    • Exploring various model evaluation techniques
    • Choosing the right evaluation model
  1. K-means clustering plus advantages & disadvantages
    • How does k-means clustering work?
    • Pros and cons of k-means clustering
  2. Hierarchical clustering plus advantages & disadvantages
    • Basics of hierarchical clustering
    • Benefits and limitations
  3. Measuring the distances between clusters - Single linkage clustering
    • Single linkage clustering explained
    • When to use single linkage clustering
  4. Measuring the distances between clusters - Algorithms for hierarchy clustering
    • Different algorithms for hierarchical clustering
    • Selecting the appropriate algorithm
  5. Density-based clustering
    • Understanding density-based clustering
    • Applications and examples
  1. Dimensionality reduction: feature extraction & selection
    • Techniques for dimensionality reduction
    • Feature extraction vs feature selection
  2. Collaborative filtering & its challenges
    • Introduction to collaborative filtering
    • Overcoming challenges in collaborative filtering

Who Can Take the Machine Learning With R Training Course

The Machine Learning With R training program can also be taken by professionals at various levels in the organization.

  • Data Scientists
  • Statisticians
  • Data Analysts
  • Product Managers
  • Machine Learning Engineers
  • Quantitative Analysts
  • R Programmers
  • Predictive Modelers
  • Econometricians
  • Data Engineers
  • Data Wranglers
  • Statistical Analysts

Prerequisites for Machine Learning With R Training

Professionals should have a basic understanding of basic programming principles, particularly in R, including variables, data types, and control structures, to take the Machine Learning with R training course.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Machine Learning With R Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Machine Learning With R training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Edstellar's Machine Learning With R virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
 On-site trainig

Edstellar's Machine Learning With R inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
 Off-site trainig

Edstellar's Machine Learning With R offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

Explore Our Customized Pricing Package
for
Machine Learning With R Corporate Training

Looking for pricing details for onsite, offsite, or virtual instructor-led Machine Learning With R training? Get a customized proposal tailored to your team’s specific needs.

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        Starter
        120 licences

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        64 hours of group training (includes VILT/In-person On-site)

        Tailored for SMBs

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        400 hours of group training (includes VILT/In-person On-site)

        Designed for large corporations

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        Unlimited duration

        Designed for large corporations

        Edstellar: Your Go-to Machine Learning With R Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

        Customizable Training

        Our course can be customized to meet the unique needs and goals of your organization.

        Comprehensive Support

        We provide pre and post training support to your organization to ensure a complete learning experience.

        Multilingual Training Capabilities

        We offer training in multiple languages to cater to diverse and global teams.

        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "The Machine Learning with R course revolutionized how I approach my daily responsibilities. As a Lead Data Scientist, understanding strategic frameworks was essential, and this training delivered beyond all invaluable real-world experience. My productivity and technical capabilities have increased dramatically since applying these concepts. The instructor's insights on practical simulations have proven instrumental in my professional advancement.”

        Nancy Davidson

        Lead Data Scientist,

        ML Model Development Platform

        "The Machine Learning with R training provided critical insights into practical applications that enhanced my consulting capabilities. As a Lead Analytics Engineer, I now leverage real-world case studies with expertise to on hands-on exercises prepared me perfectly for real-world client scenarios. This expertise enabled us to secure a transformative contract with a Fortune 100 organization, demonstrating immediate value from this investment.”

        Zbigniew Wozniak

        Lead Analytics Engineer,

        Intelligent Automation Company

        "This Machine Learning with R course provided our team with comprehensive industry best practices capabilities we immediately put into practice. As a Lead MLOps Engineer managing complex operational excellence that significantly enhanced our delivery capacity. We completed our comprehensive digital transformation initiative significantly ahead of schedule. The training fundamentally improved our team's performance metrics and overall efficiency.”

        Hassan Mahmoud

        Lead MLOps Engineer,

        Cognitive Computing Solutions Provider

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Certificate of Excellence

        We have Expert Trainers to Meet Your Machine Learning With R Training Needs

        The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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