Neural Network R codes in Power BI Part2

In the last post, I have explained the main concepts behind the neural network, In this post I will show how to apply neural network in a scenario in R and how to see the results and hidden layers in a plot. For this post I got some great example from [1]. Scenario: Concert has Read more about Neural Network R codes in Power BI Part2[…]

Over fitting and Under fitting in Machine Learning

The main aim of machine learning is to learn from past data that able us to predict the future and upcoming data. It is so important that chosen algorithm able to mimic the actual behaviour of data. in the all different machine learning algorithms, there is away to enhance the prediction by better learning from Read more about Over fitting and Under fitting in Machine Learning[…]

Prediction via KNN (K Nearest Neighbours) R codes: Part 2

In the previous post (Part 1), I have explained the concepts of KNN and how it works. In this post, I will explain how to use KNN for predict whether a patient with Cancer will be Benign or Malignant. This example is get from Brett book[1]. Imagine that we have a dataset on laboratory results of some patients Read more about Prediction via KNN (K Nearest Neighbours) R codes: Part 2[…]