What you'll learn
Basics of Machine Learning
Building Powerful Machine Learning Models
Prerequisites for Machine Learning in 2021

Requirements
Basics of Python

Description
In this course, you are going to learn the prerequisites for machine learning. Machine Learning is a vast subject that involved various other fields like Mathematics and Statistics which makes it complex. So when someone starts this journey there are very high chances to get confused due to too many concepts bombarded at you. It's an experienced opinion that a strong foundation can help us to make this journey much easier, this will provide a jump start for modern machine learning by teaching the important concepts required to get started with machine learning.
We will start this course by getting ourself introduced withe machine learning then we will set up the development environment on various systems and move towards mathematics where we will explore various important concepts from Calculus and Linear Algebra followed by Statistics where we will learn about the Probability distribution, bias, and variance, mean, median and mode along with various other important concepts.

Who this course is for:
Beginner Python developers curious about Data Science and Machine Learning.

Citación :

rapidgator_net:
https://rapidgator.net/file/cfe3090f4e28edf114869abab1780afd/shpl7.Machine.Learning.Prerequisites.for.2021.rar.html

nitroflare_com:
https://nitroflare.com/view/574D7A60948840C/shpl7.Machine.Learning.Prerequisites.for.2021.rar

uploadgig_com:
http://uploadgig.com/file/download/721dd813871f7DeD/shpl7.Machine.Learning.Prerequisites.for.2021.rar