Machine Learning


  • Experiment

    Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

  • Explore

    How, Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed.

Courses Offered

  • Excel Foundation

    VDI & UDU(USA) Certified Course

    Duration : 20hours

    Basics, Working With Data, Using Simple Functions, Data Validation etc



  • Modelling With Advanced Excel

    VDI & UDU(USA) Certified Course

    Duration : 40hours

    Excel Foundation, Relative/Absolute Reference, Data Validation, Macros etc



  • Programming With R

    VDI & UDU(USA) Certified Course

    Duration : 40hours

    R Fundamentals, Functions, Data Structures, Working With Data in R etc



  • Python Programming

    VDI & UDU(USA) Certified Course

    Duration : 40hours

    Python Programming Fundamentals, Data Structures, Working With Data in Python etc



  • Python For DS & DA

    VDI & UDU(USA) Certified Course

    Duration : 80hours

    Python Fundamentals, Working with Data Sets / Data Frames in Python, Model Development / Evaluation etc



  • Tableau With Excel

    VDI & UDU(USA) Certified Course

    Duration : 40hours

    Excel, Connecting to data with Tableau, Visual Analytics, Dashboard & Stories etc



  • Machine Learning With Python

    VDI & UDU(USA) Certified Course

    Duration : 80hours

    Python, Supervised / Unsupervised Learning, Dimensionally Reduction & Collaborative Filtering etc



  • Machine Learning With R

    VDI & UDU(USA) Certified Course

    Duration : 80hours

    R, Statistical Modelling, Supervised / Unsupervised Learning, Reduction & Collaborative Filtering etc



Course Details

FAQ's

Why Machine Learning?

Machine Learning is one of the most sought-after courses in data science. Machine Learning is providing ability to computer to predict similar pattern in the given data using algorithm or statistical models. The focus in this course will be to teach Machine Learning. Students will be introduced to different methods such as Supervised Learning, Unsupervised learning etc. Later on they will be learning methods to reduce the dimension. At the end of the course students will be required to submit project using Machine Learning with R in their domain of interest. The use of algorithm and various other methodologies is Machine Learning. Machine Learning and Statistics are part of Data Science.
Real - life examples of Machine learning and its adaptability in our daily life and the society in general and beyond