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Machine learning with R in collaboration with IBM

  1. 4.5
  2. (535 ratings)
  • 450+ Learners
  • English

Machine learning with R in collaboration with IBM

  1. 14999
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    450+ Learners
Features
  • 100+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Skill level

What you'll learn

You will learn to make use of the R language to access databases, clean, analyze, and visualize data with R. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with R.

Universally Recognized Certificates

From IBM and DataTrained

Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to analyticsjobs.in curated jobs

Access to in-demand Tools

IBM Watson labs and $1200 equivalent Cloud Credits

Programming Languages and Tools Covered

Learning Path

This Machine Learning with R program dives into the fundamentals of machine learning utilizing an approachable, and popular, programming language.

You will find out Supervised vs Unsupervised Learning, check into just how Statistical Modeling pertains to Machine Learning, and also perform their comparison.

Look at real-life instances of Machine learning and just how it impacts society in ways you might not have guessed!

Explore a lot of algorithms and models:
  • Popular algorithms: Dimensional, Clustering, Regression, and Classification Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, as well as Random Forests.
  • Get ready to do a lot more learning than the machine of yours!
Course Content
Machine Learning Languages, Types, and Examples
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning
Course Content
K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages Disadvantages of Decision Trees
Course Content
Regression Algorithms
  • Model Evaluation
  • Model Evaluation: Overfitting Underfitting
  • Understanding Different Evaluation Models
Course Content
K-Means Clustering plus Advantages Disadvantages
  • Hierarchical Clustering plus Advantages Disadvantages
  • Measuring the Distances Between Clusters - Single Linkage
  • Clustering
  • Measuring the Distances Between Clusters - Algorithms for
  • Hierarchy Clustering
  • Density-Based Clustering
Course Content
Dimensionality Reduction: Feature Extraction Selection
  • Collaborative Filtering Its Challenges

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, IBM and Expert Industry Professionals.

100+
                        Hours of Content--- best institute for data science lucknow
100+

Hours of Content

80+
                        Live Sessions--  data science training lucknow
80+

Live Sessions

15
                        Tools and Software- data science institute lucknow
15

Tools and Software

Machine learning with R in collaboration with IBM

Get eligible for 3 world-class certifications thus adding that extra edge to your resume.

  • Alumni Status
  • Learning paths and certification from IBM
  • Course completion certificate from DataTrained Education
  • Project completion certificate from DataTrained Education

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Dr. Deepika Sharma - Training Head, DataTrained
Dr. Deepika Sharma
Training Head, DataTrained

Research Scientist with a PhD in computer science and 10+ years of hands-on experience.

Saeed Aghabozorgi - Data Scientist, IBM
Saeed Aghabozorgi
Data Scientist, IBM

Saeed Aghabozorgi, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge.

Rav Ahuja - Senior Manager, IBM
Rav Ahuja
Senior Manager, IBM

Rav Ahuja is a Senior Manager with IBM Canada Lab specializing in AI, Data Science and Big Data analytics. He is part of the Emerging Technologies team and is involved in incubating solutions for Data Scientists and Analytics Professionals.

Raul F. Chong- Senior Program Manager, IBM
Raul F. Chong
Senior Program Manager, IBM

Raul F. Chong is a Senior Program Manager based at the IBM Toronto Laboratory. Raul joined IBM in 1997 and has held numerous positions in the company. Raul has taught many DB2 workshops, has published numerous articles, and has contributed to the DB2 Certification exam tutorials.

Mahdi Noorian- Data Scientist, IBM
Grant Hutchison
Senior Engineer, IBM

Grant Hutchison had worked with IBM for 18 years as Senior Engineer and Manager at IBM Canada (1991-2009). He held various roles including: Software Development, Support, Quality Assurance, Marketing, Sales, Training, and Product Management.