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Shubhang Agrawal
Shubhang Agrawal

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Published in Analytics Vidhya

·Jan 22, 2021

All you need to know about Naive Bayes

In this blog I will be writing about simple, yet effective and commonly used, machine learning classifier, that is, Naive Bayes. Here I will explain about What is Naive Bayes, Bayes theorem and its uses, Mathematical working of Naive Bayes, Step by Step implementation on it, Applications of Naive Bayes…

Machine Learning

9 min read

All you need to know about Naive Bayes
All you need to know about Naive Bayes

Published in Artificial Intelligence in Plain English

·Jan 20, 2021

Introduction to Support Vector Machine(SVM)

In this blog, I will be writing about a well known supervised ML algorithm used for for two-group classification problems, that is, Support Vector Machine(SVM). Here I will explain about What is SVM, How does SVM work, SVM kernels, SVM use cases and finally I will provide link to my…

Machine Learning

7 min read

Introduction to Support Vector Machine(SVM)
Introduction to Support Vector Machine(SVM)

Published in The Startup

·Jan 17, 2021

Image Segmentation using K-Means Clustering

In this Blog I will be sharing the explained implementation of image Segmentation using K-Means Clustering. Also I will be sharing my Jupyter Notebook of the implementation for references. So before we jump into implementation lets learn about what is Image Segmentation and its uses. Image Segmentation: In computer vision, image segmentation…

Machine Learning

6 min read

Image Segmentation using K-Means Clustering
Image Segmentation using K-Means Clustering

Published in Analytics Vidhya

·Jan 17, 2021

To Start with K-Means Clustering

In this Blog I will be writing about a well known unsupervised ML algorithm, that is, K-Means Clustering. Here I will explain about What is Clustering, Types of Clustering, types of clustering algorithm, K-Means Clustering, How does k-means algorithm works, applications of k-means clustering and I will provide link to…

Machine Learning

8 min read

To Start with K-Means Clustering
To Start with K-Means Clustering

Published in DataDrivenInvestor

·Jan 15, 2021

Logistic Regression

In this Blog I will be writing about a widely used classification ML algorithm, that is, Logistic Regression. Here I will cover the topics like What is Logistic Regression, Why we use it, How to get started with logistic Regression, Applications of Logistic regression, Advantages/Disadvantages also I will provide my…

Machine Learning

7 min read

Logistic Regression
Logistic Regression

Published in The Startup

·Jan 13, 2021

RANDOM FOREST

In this Blog I will be writing about a very famous classification as well as regression ML algorithm, that is, Random Forest Here I will explain about what is random forest, why we use it, Introduction to ensemble method, Random Forest analogy, How to use Random Forest, Applications of Random…

Machine Learning

7 min read

RANDOM FOREST
RANDOM FOREST

Published in Analytics Vidhya

·Jan 13, 2021

DECISION TREE

In this Blog I will be writing about a widely used classification (machine learning) algorithm, that is, Decision Tree. Here I will explain about what is Decision Tree, Types of Decision Tree Algorithm, How to create a Decision Tree, Applications of Decision Tree, Advantages/Disadvantages and finally I will provide link…

Machine Learning

9 min read

DECISION TREE
DECISION TREE

Published in Analytics Vidhya

·Jan 11, 2021

K-Nearest Neighbors (KNN)

In this Blog I will be writing about a very famous supervised learning algorithm, that is, k-nearest neighbors or in short KNN. Here I will explain about what is KNN algorithm, Industrial uses of KNN algorithm, How the KNN algorithm works, How to choose the value of K, Advantages/Disadvantages and…

Machine Learning

6 min read

K-Nearest Neighbors (KNN)
K-Nearest Neighbors (KNN)

Published in Analytics Vidhya

·Jan 8, 2021

Linear Regression

In this blog I will be writing about Linear Regression, that is, what is linear regression, finding best fit regression line, checking goodness of fit etc. In the end of the blog I’ll provide link to my jupyter notebook in which I have implemented a Linear Regression model from scratch…

Machine Learning Ai

8 min read

Linear Regression
Linear Regression

Published in Analytics Vidhya

·Jan 6, 2021

Mathematics and Statistics behind Machine Learning — PART 3

So this 3rd part of the blog as well as final part, as I will be covering the final topics for mathematics and statistics behind Machine Learning. If you didn’t see my previous blog please do check it. Here’s the link to it. Part 1 — Mathematics and Statistics behind Machine Learning — PART 1 Linear Algebrashubhangagrawal1999.medium.com Part 2 — Mathematics and Statistics behind Machine Learning — PART 2 Probability & Statistics for Machine Learningshubhangagrawal1999.medium.com

Machine Learning

7 min read

Mathematics and Statistics behind Machine Learning — PART 3
Mathematics and Statistics behind Machine Learning — PART 3
Shubhang Agrawal

Shubhang Agrawal

Tech Enthusiast, Gamer

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