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
4:28
Types of Missing Values
Video
11:49
When to Delete the Missing Values from Data
Video
16:11
Imputing Missing Values with Statistical Values
Video
13:24
Imputing Missing Values with Business Logic
Video
6:48
Impact of Outliers on ML Models
Video
9:49
Dealing with Outliers In any Dataset
Video
18:36
Introduction to Categorical Encoding Techniques
Introduction to Label and Ordinal Encoding
Video
14:43
Introduction to Binary and BaseN Encoding
Video
10:9
Introduction to Target Encoding
Video
7:23
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
71 Courses • 14775 Students
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