Open in app
Home
Notifications
Lists
Stories

Write
Aditya Kumar Pandey
Aditya Kumar Pandey

Home
About

Jun 29, 2021

K-Nearest Neighbor(KNN) algorithm in Machine Learning

Contents Introduction How does KNN work? Euclidean Distance Manhattan Distance KNN with the imbalanced dataset. Lazy Learners. Advantages and disadvantages. K-nearest neighbor (KNN) is one of the most important supervised machine learning algorithms. It is used for both classifications as well as a regression problem. It is used to classify the…

Knn Algorithm

5 min read

K-Nearest Neighbor(KNN) algorithm in Machine Learning
K-Nearest Neighbor(KNN) algorithm in Machine Learning

Jan 12, 2021

Machine Learning Algorithms — Linear Regression in Hindi

Machine Learning Algorithms — Linear Regression in Hindi — Is post me hum bat Karne wale hai linear regression k bare me. Jab bhi hum machine learning ke algorithms ko padhna start karte hai to hum start linear regression algorithm ke saath karte hai. So, aaj iss post me hum…

4 min read

Machine Learning Algorithms — Linear Regression in Hindi — Code4Hub
Machine Learning Algorithms — Linear Regression in Hindi — Code4Hub

Dec 11, 2020

Random Forest Algorithm in Machine Learning

Machine learning is a technique of building a model by using different techniques and algorithms. Here I am not going to discuss the detail of machine learning. we will learn about the random forest algorithm of machine learning. …

What Is Random Forest

3 min read

Random Forest Algorithm in Machine Learning
Random Forest Algorithm in Machine Learning

Oct 4, 2020

A Simple Explanation of K-Means Clustering

This article was published as a part of the Data Science Blogathon. Overview K-means clustering is a very famous and powerful unsupervised machine learning algorithm. It is used to solve many complex unsupervised machine learning problems. Before we start let’s take a look at the points which we are going to…

What Is K Means Cluster

6 min read

A Simple Explanation of K-Means Clustering
A Simple Explanation of K-Means Clustering

Sep 17, 2020

AdaBoost- A Boosting Algorithm | In-depth Maths Intuition

Adaboost is also known as Adaptive Boosting. It is the first boosting algorithm that every machine learning enthusiast learns. This post is going to explain the in-depth explanation of AdaBoost and also the maths behind this algorithm. Now let’s start with the introduction of AdaBoost. AdaBoost is the ensemble learning…

What Is Adaboost

4 min read

AdaBoost- A Boosting Algoritm| In-depth Math Intuition
AdaBoost- A Boosting Algoritm| In-depth Math Intuition

Aug 13, 2020

Decision Tree Entropy|Entropy Calculation

A decision tree is a very important supervised learning technique. It is basically a classification problem. It is a tree-shaped diagram that is used to represent the course of action. It contains the nodes and leaf nodes. it uses these nodes and leaf nodes to draw the conclusion. Here we…

Calculate Entropy

3 min read

Decision Tree Entropy|Entropy Calculation
Decision Tree Entropy|Entropy Calculation

Jul 19, 2020

What is a Linear Regression?

Whenever we start our journey into the Machine Learning, linear regression is the first basic algorithm which we study into the regression problem. It is a very straightforward, easy but very important algorithm. So let’s see what this linear regression is? “The linear regression algorithm establishes the relationship between the…

Linear Regression

3 min read

What is a Linear Regression?
What is a Linear Regression?

Jul 6, 2020

Credit Risk

Everyone used to hear about the credit risk in his daily life, especially people who are working in finance, banking, or people who are working as a business analyst. So what is this credit risk? How does it occur? Well, let us understand this with the definition of credit risk. …

What Is The Credit Risk

2 min read

Credit Risk
Credit Risk
Aditya Kumar Pandey

Aditya Kumar Pandey

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Knowable