You will the basics of machine learning like what is machine learning, machine learning algorithms, and implement linear regression using normal equation and gradient descent.
You will learn the difference between regression and classification.
When to use regression and when to use classification.
You will implement the linear regression using python.
You need to have some knowledge of writing python code using Spyder IDE.
Who this course is for:
- Beginner to Machine Learning
- Basic Python
- Basic Mathematical operations on matrix
- Spyder IDE, Python, SKlearn installed in the computer.
Last updated 2/2019
Machine Learning using Python – A Beginner’s Guide.zip | Mirror [Size: 1.5 GB]
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