Machine Learning – StuffbyYC

Introduction to Machine Learning

Some of the most important question we first ask about any topic are What ? Why ? How ?. You will find a lot of paid courses on Machine learning. Here I will creating a complete series of Blogs on Machine learning after that deep learning and Artificial Intelligence. So lets start with the baseContinue reading “Introduction to Machine Learning”

k-Nearest Neighbors in Machine Learning (k-NN)

K-Nearest Neighbors is one of the most basic classification algorithms in Machine Learning. Code and Data-set Link : Github – StuffByYC | Kaggle – StuffByYC Code and Data-set also available in Downloads section of this website In this blog we will understand how K-Nearest Neighbors algorithm works. How to Implement it with Python. KNN algorithmContinue reading “k-Nearest Neighbors in Machine Learning (k-NN)”

K-Nearest Neighbors – Advantages and Disadvantages

k-nearest neighbors is a very simple algorithm used to solve classification problems. To Understand and Implement the algorithm Visit – k-nearest neighbors in Machine Learning (k-NN) Advantages 1. k-NN is called Lazy Learner (Instance based learning). It does not learn anything in the training period. There is no training period. It stores the training datasetContinue reading “K-Nearest Neighbors – Advantages and Disadvantages”

Classification and its Performance Metrics in Machine Learning

Programming is a skill best acquired by practice and example rather than from books. – Alan Turing In classification, the goal is to predict a class label, which is a choice from a predefined list of possibilities. If you are new to machine learning check out : Introduction to machine learning Classification is a supervised machineContinue reading “Classification and its Performance Metrics in Machine Learning”

Type of Distances used in Machine Learning algorithm

Distance metric are used to represent distances between any two data points. There are many distance metrics, but in this article, we will only be discussing a few widely used distance metrics. If you are new to machine learning check out : Introduction to machine learning Type of Distances: Manhattan distance Euclidean distance Minkowski distance HammingContinue reading “Type of Distances used in Machine Learning algorithm”