Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Data Cleaning
10 Learning Materials
Dealing with Missing Values and Outliers
Causes and Impact of Missing Values
Video
00:04:28
Types of Missing Values
Video
00:11:49
When to Delete the Missing Values from Data
Video
00:16:11
Imputing Missing Values with Statistical Values
Video
00:13:24
Imputing Missing Values with Business Logic
Video
00:06:48
Impact of Outliers on ML Models
Video
00:09:49
Dealing with Outliers In any Dataset
Video
00:18:36
Introduction to Categorical Encoding Techniques
Introduction to Label and Ordinal Encoding
Video
00:14:43
Introduction to Binary and BaseN Encoding
Video
00:10:09
Introduction to Target Encoding
Video
00:07:23
Introduction to Data Manipulation Functions
Introduction to Feature Engineering Techniques
Data Cleaning on Real-world Datasets
Feature Engineering on Real-world Datasets
Introduction to Cross Validation Techniques
Introduction to Feature Scaling Techniques
Course Instructor
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Meritshot
108 Courses • 26370 Students
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