K Nearest Neighbours Algorithm
Machine Learning
Data Science
Requirements
Python programming
Basics of machine learning
Zeal to learn
Not be able to eat 1 Pizza
Description
Hi , and welcome to the K Nearest Neighbours Course
Are you someone who is new to machine learning ?
Are you someone who wants to get started with machine learning ?
Can you sacrifice 1 McDonalds Meal for this amazing course ?
YES?
Then this course is for you -->
Machine learning which is a buzz word has been in the market for quite some time now . Suppose you are a pizza ? delivery guy , who has 3 stores A , B and C , and want to know which store to visit , or which store is closest to you . This is where KNN , comes in . Imagine you are a dot in the middle and A,B,C are stores . So KNN will help you in determining the closest distance .
Let us look at what you'll be requiring throught the course -
Materials Required -
Mac or Windows
At least 4 gb ram
Good coding skills
Python language
Zeal to learn
In this course you'll learn -
What is KNN
Machine learning
Visualising data
Splitting the dataset
How to apply KNN
Cosine Similarity
Confusion matrix
Work with really cool datasets and build real time projects
I believe in the concept of "Learn by doing " and this is emphasised in my class , I myself learn by doing things instead of listening to boring lectures !
You'll be able to use real time datasets after this class and learn all the necessary components required for getting started with machine learning
Will it be challenging ? YES
Will you get difficulty in understanding things ? YES (if you are a beginner)
But that is what my course is for , it will help you make an app in quick time and you will surely learn many things going forward !
Good luck !
Who this course is for:
Students who want to learn the first basic machine learning model
Python programmers who want to get into machine learning

Homepage

https://www.udemy.com/course/k-nearest-neighbors-machine-learning/

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