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 ?
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