MLwale

K-nearest neighbours is a basic machine learning algorithm that can be used for classification.
Scikit-learn has a built-in implementation of k nearest neighbour classifier which is ready to use out of the box.
"Play or No Play" is a very simple project which is predicting the behaviour of a person whether he/she will come to play in the current weather condition or not.
You can also customize it to predict the behaviour of your friends 😉

K-nearest neighbours is a very basic machine learning algorithm which can be used for classification problems. Here K is a constant, which can be 1, 2 ... n where n is the total data points currently present. It is a hyper-parameter which needs to carefully chosen upon experimenting with different values.
often k is chosen to be an odd number like 3, 5 etc to avoid a tie.
This algorithm works on a very simple concept, whenever class of a new data point needs to be predicted, it just checks the k nearest data points and the class whose data points are more, the new point is placed in that class.
Stay tuned project #002 is coming on "k-nearest neighbours"

The Classic Classification, You've probably heard of it and if not, don't worry we have got you!!!

From ages, humans are doing classifications, good vs bad, dog vs cat, Marvel vs DC 😉 (Pun Intended). It's a mundane task that we but in some cases Classification will require expertise like cancer can be malignant or benign.

Machines are doing pretty well in expert's tasks. A well-trained model can classify cancer with about 99% Accuracy!!!. Well, they don't require to go to medical colleges for that but indeed lots and lots of examples from which they can learn.

In the current era, we are creating a lot of data and hence these machines are becoming more and more powerful. So without further ado let's get started with CLASSIFICATION.

for more info on classification: https://www.simplilearn.com/classification-machine-learning-tutorial

Introduction to Machine Learning

Here is the first project ( #001 out of #101), it is a linear-regression based project that aims to predict the price of the house. This is just the first step towards our goal to create a community of fresh ideas, which can be worked upon to develop solutions for real-world problems.

Heard of Linear Regression?

Categories of Machine Learning

Introduction to Machine Learning

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