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Expert-Led
4.
18:25
Data Preparation and Feature Engineering
Data preparation and feature engineering techniques.
Playlist
1
Introduction to Machine Learning
*
History and Evolution of Machine Learning
12:00
*
Supervised Learning Fundamentals
14:45
*
Unsupervised Learning Essentials
13:20
*
Reinforcement Learning Basics
16:10
*
Types of Algorithms in Machine Learning
15:50
2
Supervised vs. Unsupervised Learning
15:30
3
Popular Machine Learning Algorithms
20:45
4
Data Preparation and Feature Engineering
*
Data Cleaning Techniques
10:30
*
Feature Selection Methods
12:45
*
Feature Engineering Techniques
14:20
*
Handling Imbalanced Data
11:40
*
Data Transformation and Scaling
13:15
5
Model Performance and Accuracy
12:55