We are providing best Machine Learning training in Chennai with experienced professionals. Our Machine Learning using R training syllabus very depth and carrier oriented. Using this course you can learn in-depth of machine learning concept and Artificial Intelligence studies.
Machine Learning using R is widely using tool for data analysing in organization. It providing very rich features to visual business data in different styles and different format in few seconds. Using Tableau tool features, can analysis data quickly and more real time collaboration
Orange TechnoMind providing the real-time and placement focused Machine learning training in Chennai, This course syllabus covers basic to advanced level and it helps to get the placement in any MNC companies. We designed training syllabus based on industry standard. Our trainers are certified and working professionals with hands on real time knowledges.
Using this course, you learns fundamental of Machine Learning Concept, Classification, Regression, distribution and Supervised learning. And also you learn best practice to follow while developing application, Interviews Tips and Certification Tips .
Audience
Machine Learning course is designed for Data Analytics Designer, Developers, Data Scientist, Job Seekers and IT professionals who want to learn Business Intelligence and Analytics using advanced technologies.
Book your FREE Demo for Machine Learning using R Training
Machine Learning using R Syllabus
Introduction to R
- What is Machine Learning?
- Features and Benefit of Machine Learning
- Explain on use and abuse of Machine Learning
- Real-time use case Scenarios
- Explain on high level Machine Learning Algorithm
- What is R?
- Why need R?
- Pre-requisite to install R
- Installing R
- Explain on Package and Library
- Loading an R package
- Environment Setup on R
- Scoping Rules
- GUI Editor and Command line interface
- Explorer on R Studio
- Getting helps and blog on R
Building Blocks on R
- Variable declaration and Syntax on R
- Scalars
- Vectors
- Factors
- List
- Arrays
- Data Frames
- Using Cbind,Rbind
- Explain on Classes and Objects
- Functions
- Custom Functions and Arguments
- IF-else statements
- Lookup tables
- Sequential steps
- Explain on Parallel Cases
- Looping statements like FOR, WHILE, REPEAT
Processing Data with R
- Understanding Loading and Saving R data structure
- Importing and Saving data from CSV files
- Importing data from SQL database
- Reading and Writing using Excel and SAS
- Explain on Structure of data
- Visualizing Numeric Variables
- Explain Visualizing Relationships
Working with Regression and Analysis
- Overview of Regression and Analysis
- Benefit of Regression
- Explain on Baseline Model
- Liner Regression
- Correlations
- Multiple linear Regression
- Explain on Regression and Model Trees
- Polynomial Regression model with rlm
- Definition Correlation
- Bigger Regression Models with Biglm
Working with Regularization
- Explaining on Regularization
- Non-Linear Relationships
- Test Regression
Lazy and Probabilistic Learning
- Understanding nearest Neighbor Classification
- Depth explain on K-NN Algorithm
- Choose data for use with K-NN
- Understanding Naive Bayes
- Basic concept on Bayesian Methods
- Explaining on Probability and joint Probability
- Naive Bayes Algorithm
Working with Divide and Conquer
- Explaining on Decision Trees
- Decision Tree Algorithm
- Classification Rules
- Separate and Conquer
- Explain on 1R Algorithm
- Explain on RIPPER Algorithm
Working with Black Box Methods
- What is Neural Networks?
- Understanding on Neural Networks
- Activation Function
- Explain on Network Topology
- Explain on Support Vector Machines
Working with Finding Patterns
- What is Association Rules
- Understanding Association Rules and Benefit
- Explain on Apriori Algorithm
- Setting up rules with Apriori Principle
Working with Model Performance
- Overview of Model Performance
- Classification on Measuring Performance
- Prediction data with R
- Measure Performance using Confusion Matrices
- Explain on F-Measure
- Explain on Improving Model Performance
- Parallel Computing
Best Practices on Machine Learning and Interview Tips
Machine Learning using R Trainer Profile
- More than 10+ Years of experiences on Linux and Cloud Administration
- Trainers have experienced on multiple real-time projects in their Industries
- Strong Practical and Industries Knowledge
- Are certified Professionals with High Grade
- Have experiences on Service Oriented Architecture, Monolithic Architecture
Placement Assistance after Machine Learning using R training in Chennai
- Dedicated team to find and arrange interviews for completed students
- Student would be prepared for interview while learning the courses
- Resume preparation tips and samples
- Tie up with Authorized Training Center which helps guidance for certification
- Are Well connected with Hiring HRs in multinational companies
Queries You may have
It required basic understanding of Computer Networking, Operating System and Scripting program. Fundamentals of IaaS, PaaS and how cloud services work exactly
The instructors are practitioners from the Industry with minimum 7 yrs of relevant IT experience. They are subject matter experts and working professionals.
We will arrange free demo for all our trainee before enroll any courses. Trainee have all rights to choose suitable trainers and course content
We provides this course in online as well for who can not attend this course in class room they can take from online
Reviews
Orange TechnoMind Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.