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Machine Learning Using R Course with Placement in Porur, Chennai

Courses / Core Java Training

Machine Learning Using R Training in Porur, Chennai

Machine learning is a branch in computer science that explains the design of algorithms that can learn and be trained. different machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. The Machine Learning Using R training at Porur, Chennai that is provided by ACTE is proven to be effective. This course is taught at ACTE by experts from various MNC’s with over10 years of experience. This is one of the sought after course in current technological needs.

Our training for Machine Learning Using R course at Porur, Chennai is conducted in various batches with flexible schedule to suite the need of the candidate. We have training in weekday, weekend and also on the evening. The candidates are at liberty to choose the timing that they are most comfortable with

Our training are very well designed by experts. The training at ACTE is at most practical ensuring proper understanding of the course from the basics to the most advanced features. The Machine Learning Using R institution with placement at Porur, Chennai is designed specifically to satisfy all the needs and requirements of the current day technical organizations. We also provide free demo for the candidates to get a clarity. Contact us today for one.

Machine learning with R Training in ACTE
Placement
Placement

Benefits of Machine Learning Using R training at Porur:

  • Affordable fees & flexible timings.
  • We provide practical training.
  • Course materials are prepared by experts.
  • Aid with video tutorials.
  • Convenient lab facility.

Machine Learning Using R training highlights:

    ACTE will be an interactive learning destination for anyone who wants to enroll in Machine Learning Using R training. Here are some reasons why you need to master your Machine Learning Using R skills with us.

  • Get Trained from BI & Data Warehousing Certified Partner
  • 16+ Modules with In-depth Concepts
  • Flexible Online & Offline Classes
  • 100+ Students got Placed in IT Companies
  • Completed 250+ Batches and Counting
  • Up-to-date Advanced Course Curriculum

Machine Learning Using R Training Course syllabus

    1.Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R console and Editor
  • R Studio
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors
  • 2.Data Processing using R

  • Reading Data
  • Writing Data
  • Slicing of Data
  • Merging Data
  • Apply functions
  • 3.Programming in R

  • If
  • For
  • While
  • Repeat
  • Break
  • Return
  • Functions
  • Name matching of arguments
  • 4.Graphics Using R

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
  • 5.Machine Learning

  • Simulation (Sampling from Probability Distributions)
  • Supervised and Unsupervised Learning
  • Regression
  • Prediction
  • Dimension reduction (Principal Component Analysis)
  • Decision Tree
  • Anomaly Detection in data
  • Data clustering (k-means)
  • Classification (k- nearest neighbor)
  • Classification (Support Vector Machine)

Course Highlights

  • Free demo classes.
  • Limited Batch Size.
  • Excellent lab facility.
  • Innovative ideas are taught by the professionals.
  • 100% placement Assurance.
  • Expert trainers will teach the students.
  • Certificates are provided to the students.

About Trainer

  • 5+ experienced in Core Java
  • Certified trainer
  • Working in top MNC company
  • Friendly and interactive
  • Trained more than 3000 students
  • Ready to help students - 24/7
  • Strong knowledge and perfect delivery
  • On the spot doubt clarifying person

Palani Kumar, MCA
(Tata Consultancy Services)
5+ experience

Certifications

  • Machine Learning using R Certification
  • Our Reviews

     

    ACTE 5 Star Rating: Recommended 4.9 out of 5 based on 4785 ratings.