Machine Learning

Data Preprocessing, Machine learning algorithms, Validation and Performance testing

Beginner 0(0 Ratings) 2 Students enrolled English
Created by Harshita Jain
Last updated Fri, 19-Jan-2024
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Course overview

This course provides an introduction to the fundamental methods at the core of modern machine learning. It covers the beginners part. It covers theoretical foundations as well as essential algorithms for supervised and unsupervised learning. Classes on theoretical and algorithmic aspects. It also includes the validation and performance testing criteria.

Curriculum for this course
10 Lessons 01:52:37 Hours
Section A
10 Lessons 01:52:37 Hours
  • Introduction to Data Preprocessing
    00:01:31
  • Data Quality Assessment
    00:01:31
  • Data Cleaning
    00:15:22
  • Data Transformation (Part 1)
    00:15:12
  • Data Transformation (Part 2)
    00:09:53
  • Data Reduction (part 1)
    00:16:39
  • Data Reduction (part 2)
    00:15:43
  • Data Reduction (part 3)
    00:10:22
  • Data Reduction (part 4)
    00:12:31
  • Data Reduction (part 5)
    00:13:53
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Harshita Jain

Assistant Professor

0 Reviews | 1 Students | 1 Courses
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