Course Curriculum
- 5 sections
- 22 lectures
- 00:00:00 total length
-
Introduction to types of ML algorithm
00:02:00
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SVM – Python Implementation
00:06:00 -
Introduction to types of ML algorithm
00:02:00 -
Importing a dataset in python
00:02:00 -
Resolving Missing Values
00:06:00 -
Managing Category Variables
00:04:00 -
Training and Testing Datasets
00:07:00 -
Normalizing Variables
00:02:00 -
Normalizing Variables – Python Code
00:03:00 -
Summary
00:01:00
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Simple Linear Regression – How it works?
00:04:00 -
Simple Linear Regreesion – Python Implementation
00:07:00 -
Multiple Linear Regression – How it works?
00:01:00 -
Multiple Linear Regression – Python Implementation
00:09:00 -
Decision Trees – How it works?
00:05:00 -
Random Forest – How it works?
00:03:00 -
Decision Trees and Random Forest – Python Implementation
00:04:00
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kNN – How it works?
00:02:00 -
kNN – Python Implementation
00:10:00 -
Decision Tree Classifier and Random Forest Classifier in Python
00:10:00 -
SVM – How it works?
00:04:00
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Claim Your Certificate
00:00:00