All language subtitles for 03 - Prerequisites and Course Outline.en

[Autogenerated] before we dive into the

actual course content. Let's take a look

at some of the products that you need to

have to make the most of your learning.

This course assumes that you're very

comfortable programming in the fight on

language. All of the court in this course

will be written using Pipe Country on

Jupiter notebooks. This calls also suits

that you have some understanding off

machine learning and that you have built

and trained simple ML models. If you feel

that you lack the pre rex for the scores,

heroes up other course on plot inside that

you should watch. First bite on

fundamentals will get you up and running

with bite on if you want to get started

with machine learning. Understanding

machine learning is agreed course for

beginners. And if you want to get hands on

with building and training simple machine

learning models, building your first

psychic learned solution is the course for

you. Here is a broad outline for what we

cover in this course. We first discussed

the role of features and machine learning

and discuss different feature engineering

techniques will then see how you can

prepare data for machine learning. This is

the hands on model? Well, then explore

feature selection techniques and apply

these techniques in a hands on manner.

Well, then explore feature extraction

techniques and applied these in a hands on manner as well.