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Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Machine learning Using R Training Projects
Become a Machine Learning Using R Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Data Cleaning and Preprocessing
Learn to clean datasets by handling missing values, outliers, and data transformation using R packages like dplyr and tidyr. This project builds a strong foundation in data preparation.
Basic Exploratory Data Analysis (EDA)
Create visualizations and statistical summaries using ggplot2 to understand data distributions and relationships. This helps in deriving initial insights from raw data.
Simple Linear Regression Model
Implement a linear regression model in R to predict outcomes based on input features, gaining experience in statistical modeling and interpretation.
Classification Using Decision Trees
Build and evaluate decision tree classifiers on real datasets, focusing on model accuracy and parameter tuning. This project enhances understanding of supervised learning algorithms.
Customer Segmentation with K-Means Clustering
Apply unsupervised learning techniques to segment customers based on purchasing behavior, improving skills in clustering and data grouping in K-Means Clustering
Time Series Analysis and Forecasting
Work on time-dependent data to analyze trends and seasonality, and build forecasting models using R’s time series packages. Gain hands-on experience with tools like forecast.
Ensemble Learning with Random Forests
Develop complex models combining multiple algorithms to improve prediction accuracy on large datasets. Learn hyperparameter tuning and model stacking.
Deep Learning with Neural Networks
Use R packages like Keras to build and train deep learning models for image or text data, exploring advanced AI concepts.
Deploying ML Models with Shiny Applications
Create interactive web applications that deploy machine learning models, allowing real-time user inputs and predictions in a live environment.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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13 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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15 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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18 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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19 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Machine Learning Using R Training Overview
Benefits of Machine Learning Using R Training in Chennai
Machine Learning Using R placement Training provides learners with a practical and hands-on approach to mastering data analysis and predictive modeling using R, one of the most popular statistical programming languages. The course enhances your ability to manipulate data, build models, and visualize results effectively, all crucial skills for data-driven decision-making. Additionally, it prepares you for real-world challenges by combining theoretical knowledge with industry-relevant projects, boosting your employability in the fast-growing data science market.
Future Trends of Machine Learning Using R Training in Chennai
- Integration with Big Data Technologies: Increasing use of R in conjunction with big data platforms like Hadoop and Spark.
- Automated Machine Learning (AutoML): Growing adoption of AutoML packages in R for faster model building and deployment.
- Enhanced Visualization Tools: More sophisticated data visualization libraries in R to interpret complex datasets easily.
- AI and Deep Learning Expansion: Incorporation of advanced AI and deep learning frameworks supported by R packages.
- Cloud-based Machine Learning: Training focuses on deploying R-based ML models on cloud platforms for scalability.
Latest Advances in Machine Learning Using R Course in Chennai
- Inclusion of Tidymodels Framework: Modern machine learning workflows with the Tidymodels ecosystem for cleaner, efficient coding.
- Support for Deep Learning Packages: Introduction of packages like Keras and TensorFlow interfaced with R.
- Real-time Data Streaming Integration:Training includes handling live data streams for real-time predictions.
- Enhanced Model Interpretability Tools: Use of packages like DALEX and LIME for explaining complex model decisions.
- Focus on Reproducible Research: Emphasis on reproducibility using R Markdown and version control within ML projects.
Main Concept of Machine Learning Using R Placement in Chennai
The core focus of Machine Learning Using R placement training is to equip candidates with both the technical skills and industry insights required to excel in data science roles. It emphasizes developing a strong foundation in R programming, statistical modeling, and machine learning algorithms, alongside soft skills like problem-solving and communication. Placements are targeted through rigorous hands-on projects, mock interviews, and real-world case studies, ensuring candidates are job-ready and confident to meet employer expectations.
Real-Time Projects Completed in Machine Learning Using R Placement Recently
Recent Machine Learning Using R placement training batches have successfully completed projects involving customer churn prediction, sentiment analysis of social media data, and sales forecasting using time series models. Other projects included building recommendation systems, fraud detection models for financial transactions, and healthcare analytics for patient risk prediction. These projects simulate real industry problems, allowing trainees to apply machine learning algorithms effectively and gain experience working with large datasets and business-driven analytics.
Career Opportunities After Machine Learning Using R Training
Machine Learning Engineer
As a Machine Learning Engineer with expertise in R, your role involves designing and deploying predictive models and algorithms that help businesses automate decision-making.
Data Scientist
In this role, you’ll analyze complex datasets to derive actionable insights using R’s powerful statistical tools. You'll build regression models, classification algorithms, and unsupervised learning systems.
Business Intelligence Analyst
A BI Analyst specializing in Machine Learning with R supports decision-making by creating data-driven reports and predictive models. You’ll be using R to analyze sales, customer behavior, and market trends.
Quantitative Analyst
Quantitative Analysts in financial institutions use machine learning techniques in R to forecast market movements, assess risk, and price financial instruments.
AI Research Assistant
As an AI Research Assistant, you’ll contribute to the development of machine learning algorithms and conduct experiments in R.You’ll explore novel ML techniques.
Data Analyst
A Data Analyst with ML skills in R is tasked with deriving patterns and trends from structured data and building predictive models to support operations and marketing efforts.
Skill to Master
Data Preprocessing in R
Exploratory Data Analysis
Supervised Learning Algorithms
Unsupervised Learning Techniques
Model Evaluation and Validation
Time Series Forecasting
Feature Engineering and Selection
Ensemble Methods
Machine Learning Pipelines
Shiny for Dashboarding
Model Deployment and Reporting
Data Visualization
Tools to Master
RStudio
caret
tidymodels
ggplot2
randomForest
xgboost
mlr3
dplyr
shiny
forecast
prophet
plotly
Learn from certified professionals who are currently working.
Training by
Sowmiya, having 10 yrs of experience
Specialized in: Predictive Modeling, Data Science Strategy, Time Series Forecasting, and Ensemble Learning using R.
Note: Sowmiya is known for delivering real-time business applications using R and helping learners grasp complex statistical techniques with ease. Her sessions often include hands-on forecasting models and case studies from finance and retail sectors.
We are proud to have participated in more than 40,000 career transfers globally.
Machine Learning Using RCertification
While certification significantly improves your chances by showcasing your skills, it does not guarantee a job. Employment depends on various factors like your overall experience, interview performance, and industry demand. However, a recognized certification can set you apart from other candidates and open doors to opportunities in data science and analytics roles.
Preparing for the placement exam involves understanding core concepts of machine learning and R programming, practicing hands-on projects, reviewing sample test questions, and participating in mock interviews. Candidates should focus on building problem-solving skills and applying theoretical knowledge in real-world scenarios to perform well.
Practical experience is highly valuable as it enhances your understanding of concepts and improves your ability to apply algorithms to real datasets. Most certification programs emphasize hands-on labs and projects, which simulate real-world tasks.
Investing in ACTE’s Machine Learning Using R course is worthwhile due to its industry-aligned curriculum, expert trainers, and comprehensive placement support. The skills acquired are in high demand, increasing your employability.
Frequently Asked Questions
- Yes, ACTE offers personalized career counseling sessions to help you understand the course benefits, industry demand, and your career goals.
- This guidance ensures you make an informed decision that aligns with your aspirations.
- The training includes interactive live sessions, hands-on projects, real-time doubt clearing, and practical assignments.
- The approach combines theory with extensive practice, including real-world case studies, to solidify your understanding.
- Graduates from ACTE are hired by leading IT firms, analytics companies, startups, and multinational corporations specializing in data science, finance, healthcare, retail, and more.
- Yes, the course prepares you for industry-recognized certification exams in machine learning and R programming, and ACTE
- Definitely! You are encouraged to showcase your live project work in your portfolio.These projects demonstrate your practical skills and problem-solving ability, making your profile stand out to potential employers.