# Posts by Tag

## Kruskal Wallis H Test in News Data

Kruskal Wallis H Test

## R Exercise: Different Hypothesis Testing in R

What is Hypothesis Testing

## R Exercise: Monte Carlo Simulations in R

Monte Carlo Simulations

## R Exercise: Polynomial Regression Model in R

Polynomial Regression

## R Exercise: Validation and Cross Validation for Predictive Modeling R

Validation & Cross-validation for Predictive Modelling including Linear Model as well as Multi Linear Model

## Nepali News Classification using Naive Bayes

Naive Bayes for Nepali News Classification Hello everyone, welcome back to our blog about news classification and in this blog, we are going to explore Naive...

## Nepali News Classification using Logistic Regression

Logistic Regression for Nepali News Classification Hello everyone, and welcome back to my news categorization blog. In this blog, I’ll be looking into Logist...

## Exploratory Data Analysis in Nepali News

Introduction Hello everyone, in this blog, we are going to perform EDA on Nepali News that I scraped back in 2021. EDA is the basic step done in any Data Sci...

## Exploring Different types of Gradient Descent Algorithms

Gradient Descent Gradient Descent is the most popular optimizer to update parameters and it uses the gradient of the error with respect to the parameter. But...

## Logistic Regression from Scratch in Python: Exploring MSE and Log Loss

Logistic Regression From Scratch

## R Exercise: Association Rule Mining in R

Association Rule Mining

## R Exercise: Getting Started With ggplot in R

Getting Started with ggplot2 in R

## R Exercise: Social Network Analysis

Social Network Analysis

## R Exercise: Training Different ML Models in R

Load Data Dataset is available here.

## R Exercise: Pipe Operater In R

Data Analysis Using Pipe Operator in R

## R Exercise: Working with PCA and Dimensionality Reduction

Check the data mtcars with head and save a new data as mtcars.subset after dropping two non-numeric (binary) variables for PCA analysis

## R Exercise: Working with Outliers and Fitting Different Machine Learning Models

Nepal COVID-19 data extracted from Wikipedia to fit the following models with daily deaths as dependent variable and time as independent variable

## R Exercise: Working with Data from JSON API and Performing EDA

Import any data from JSON API

## R Exercise: Different Hypothesis Testing in R

What is Hypothesis Testing

## R Exercise: Monte Carlo Simulations in R

Monte Carlo Simulations

## R Exercise: Polynomial Regression Model in R

Polynomial Regression

## R Exercise: Validation and Cross Validation for Predictive Modeling R

Validation & Cross-validation for Predictive Modelling including Linear Model as well as Multi Linear Model

## R Exercise: Association Rule Mining in R

Association Rule Mining

## R Exercise: Getting Started With ggplot in R

Getting Started with ggplot2 in R

## R Exercise: Social Network Analysis

Social Network Analysis

## R Exercise: Training Different ML Models in R

Load Data Dataset is available here.

## R Exercise: Pipe Operater In R

Data Analysis Using Pipe Operator in R

## R Exercise: Working with PCA and Dimensionality Reduction

Check the data mtcars with head and save a new data as mtcars.subset after dropping two non-numeric (binary) variables for PCA analysis

## R Exercise: Working with Outliers and Fitting Different Machine Learning Models

Nepal COVID-19 data extracted from Wikipedia to fit the following models with daily deaths as dependent variable and time as independent variable

## R Exercise: Working with Data from JSON API and Performing EDA

Import any data from JSON API

t- test

## Dataframe in R.

Getting Started With Dataframe.

## Scrapping Tweets of a Person and Making a Word Cloud.

Text Mining and its Importance in NLP, ML and AI

## Getting Started with R Programming Language.

Getting Started With R .

## Does ax = bx imply a = b in any vector space?justify

Question: Does ax = bx imply a = b in any vector space? Justify. Let v = $${(a_1, a_2):a_1, a_2 \in f}$$ where f is field. Define addition of elements of v c...

## Does ax = bx imply a = b in any vector space?justify

Question: Does ax = bx imply a = b in any vector space? Justify. Let v = $${(a_1, a_2):a_1, a_2 \in f}$$ where f is field. Define addition of elements of v c...

## Dataframe in R.

Getting Started With Dataframe.

## Scrapping Tweets of a Person and Making a Word Cloud.

Text Mining and its Importance in NLP, ML and AI

## Getting Started with R Programming Language.

Getting Started With R .

## How To Find Multiple Numbers of 3 or 5 or Any Numbers from given range Using Python Dictionary?

How to findout multiple numbers.

## How To Find Square Numbers From Given List Using Python?

How to findout Square Number.

## How To Find HCF Using Python?

How to findout HCF.

## How To Find Composite And Prime Using Python?

How to findout prime or composite.

## How To Convert Non Perfect Number Into Perfect Number Using Python?

Conversion From Non Perfect Number Into Perfect Number.

## How To Convert Decimal To Binary In Python?

Conversion From Decimal to Binary in Python.

## Manipulation of word vectors

Introduction To manipulating vectors means we perform some arithmetics operation on these vectors. By performing some arithmetics on vectors resulting vector...

## Vector Space Model

Vector Space Model

NLP Pipeline

## Different Approaches for Natural Language Processing

Several widely used NLP algorithms

## Basic Introduction to Natural Language Processing

Basic Introduction of NLP Images in this blog are borrowed from lecture note of Prof. Bal Krishna Bal.

## Manipulation of word vectors

Introduction To manipulating vectors means we perform some arithmetics operation on these vectors. By performing some arithmetics on vectors resulting vector...

## Vector Space Model

Vector Space Model

NLP Pipeline

## Different Approaches for Natural Language Processing

Several widely used NLP algorithms

## Basic Introduction to Natural Language Processing

Basic Introduction of NLP Images in this blog are borrowed from lecture note of Prof. Bal Krishna Bal.

## Is If x Belong To The Domain Than f(x) belong To The Range ?

Let $$F : x \Rightarrow y$$

## Is Statement And Negation Of Statement Same Thing?

Condider the following two statement

## Is Y Is Inverse Of Every Real Number?

We know that the statement

## Is Every Real Number Has Additive Inverse?’

Distinguish between two statements $$(\forall x \in R)\ ( \exists y \in R)\ (x + y = 0 )\ and\ ( \exists y \in R)\ ( \forall x \in R)\ (x + Y = 0)$$ Sol...

## Is If x Belong To The Domain Than f(x) belong To The Range ?

Let $$F : x \Rightarrow y$$

## Is Statement And Negation Of Statement Same Thing?

Condider the following two statement

## Is Y Is Inverse Of Every Real Number?

We know that the statement

## Is Every Real Number Has Additive Inverse?’

Distinguish between two statements $$(\forall x \in R)\ ( \exists y \in R)\ (x + y = 0 )\ and\ ( \exists y \in R)\ ( \forall x \in R)\ (x + Y = 0)$$ Sol...

## Naive Bayes From Scratch

Previously, we wrote blogs on many machine learning algorithms(Classification, Predication) as well as many other topics to help you sharpen your knowledge o...

## R Exercise: Training Different ML Models in R

Load Data Dataset is available here.

## R Exercise: Working with PCA and Dimensionality Reduction

Check the data mtcars with head and save a new data as mtcars.subset after dropping two non-numeric (binary) variables for PCA analysis

## R Exercise: Working with Outliers and Fitting Different Machine Learning Models

Nepal COVID-19 data extracted from Wikipedia to fit the following models with daily deaths as dependent variable and time as independent variable

## Kruskal Wallis H Test in News Data

Kruskal Wallis H Test

## Multilayer Percepron Using XOR function from Scratch

Multilayer Perceptron (MLP)

## Single Layer Perceptron From Scratch

Artificial Neuron Network

## Multilayer Percepron Using Majority function from Scratch

Multilayer Perceptron (MLP)

## Simple Sampling vs Importance Sampling from Monte Carlo Method

We shared the blog, which all are related to Monte Carlo based on simple sampling. To see the previous blogs of Monte Carlo, you can visit the following link.

## Estimation of Value of Pi in Diffrent Dimension

Estimation of Value of Pi From Area of Circle in Two Dimension Using Monte Carlo

## How to calculate integration using Monte Carlo Method?

Introduction integration

## How Can We Generate Random Number From Congruential Method?

What is Random Number A random number is one that is selected at random, as the name suggests, from a group of numbers. As they tend to be excessively slow f...

## Simple Sampling vs Importance Sampling from Monte Carlo Method

We shared the blog, which all are related to Monte Carlo based on simple sampling. To see the previous blogs of Monte Carlo, you can visit the following link.

## Estimation of Value of Pi in Diffrent Dimension

Estimation of Value of Pi From Area of Circle in Two Dimension Using Monte Carlo

## How to calculate integration using Monte Carlo Method?

Introduction integration

## How Can We Generate Random Number From Congruential Method?

What is Random Number A random number is one that is selected at random, as the name suggests, from a group of numbers. As they tend to be excessively slow f...

## Simple Sampling vs Importance Sampling from Monte Carlo Method

We shared the blog, which all are related to Monte Carlo based on simple sampling. To see the previous blogs of Monte Carlo, you can visit the following link.

## Estimation of Value of Pi in Diffrent Dimension

Estimation of Value of Pi From Area of Circle in Two Dimension Using Monte Carlo

## How to calculate integration using Monte Carlo Method?

Introduction integration

## How Can We Generate Random Number From Congruential Method?

What is Random Number A random number is one that is selected at random, as the name suggests, from a group of numbers. As they tend to be excessively slow f...

## Mathematics Behind Support Vector Machine

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## Different method of Outliers Detection

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## Naive Bayes From Scratch

Previously, we wrote blogs on many machine learning algorithms(Classification, Predication) as well as many other topics to help you sharpen your knowledge o...

## The Power of ‘What if?’

Introduction What if I did this? What if I couldn’t do this?

## My Blogging Journey

Introduction I was teaching secondary level students on 2019 and I was learning lots of things during that 1 year. It was really an amazing experience that I...

## What Is Fourier Series?

What is fourior Series

## IS Fourier Series Used In Real Life?

Some real world application of fourier series:-

## Is Complex Fourier Is Same With Real Fourier?

Complex form of fourier series

## What Is Fourier Series?

What is fourior Series

## IS Fourier Series Used In Real Life?

Some real world application of fourier series:-

## Is Complex Fourier Is Same With Real Fourier?

Complex form of fourier series

## Nepali News (Gorkhapatra) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Gorkhapatra News Portal Using python and BeautifulSoup.

## Nepali News (ekantipur) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From ekantipur News Portal Using python and BeautifulSoup.

## Nepali News (Onlinekhabar Post) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Onlinekhabar Post News Portal

## Nepali News (Gorkhapatra) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Gorkhapatra News Portal Using python and BeautifulSoup.

## Nepali News (ekantipur) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From ekantipur News Portal Using python and BeautifulSoup.

## Nepali News (Onlinekhabar Post) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Onlinekhabar Post News Portal

## Nepali News (Gorkhapatra) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Gorkhapatra News Portal Using python and BeautifulSoup.

## Nepali News (ekantipur) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From ekantipur News Portal Using python and BeautifulSoup.

## Nepali News (Onlinekhabar Post) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Onlinekhabar Post News Portal

## Nepali News Classification using Naive Bayes

Naive Bayes for Nepali News Classification Hello everyone, welcome back to our blog about news classification and in this blog, we are going to explore Naive...

## Nepali News Classification using Logistic Regression

Logistic Regression for Nepali News Classification Hello everyone, and welcome back to my news categorization blog. In this blog, I’ll be looking into Logist...

## Exploratory Data Analysis in Nepali News

Introduction Hello everyone, in this blog, we are going to perform EDA on Nepali News that I scraped back in 2021. EDA is the basic step done in any Data Sci...

## Nepali News Classification using Naive Bayes

Naive Bayes for Nepali News Classification Hello everyone, welcome back to our blog about news classification and in this blog, we are going to explore Naive...

## Nepali News Classification using Logistic Regression

Logistic Regression for Nepali News Classification Hello everyone, and welcome back to my news categorization blog. In this blog, I’ll be looking into Logist...

## Exploratory Data Analysis in Nepali News

Introduction Hello everyone, in this blog, we are going to perform EDA on Nepali News that I scraped back in 2021. EDA is the basic step done in any Data Sci...

## Multilayer Percepron Using XOR function from Scratch

Multilayer Perceptron (MLP)

## Single Layer Perceptron From Scratch

Artificial Neuron Network

## Multilayer Percepron Using Majority function from Scratch

Multilayer Perceptron (MLP)

## Manipulation of word vectors

Introduction To manipulating vectors means we perform some arithmetics operation on these vectors. By performing some arithmetics on vectors resulting vector...

## Vector Space Model

Vector Space Model

NLP Pipeline

## News Classification using Neural Network

News Classification with Simple Neural Network is one of the application of Deep Learning. And here in this part of the blog, I am going to perform a Nepali ...

## Stock Price Prediction On Commercial Data Using RNN

Basic Introduction to RNN A type of neural network called a recurrent neural network (RNN) uses the output from a previous step as input for the current step...

## Stock Price Prediction On Commercial Data Using GRU

Basic Introduction Of GRU There are two primary issues with recurrent neural networks Calculations of gradients either fail or explode.

## News Classification using Neural Network

News Classification with Simple Neural Network is one of the application of Deep Learning. And here in this part of the blog, I am going to perform a Nepali ...

## Stock Price Prediction On Commercial Data Using RNN

Basic Introduction to RNN A type of neural network called a recurrent neural network (RNN) uses the output from a previous step as input for the current step...

## Stock Price Prediction On Commercial Data Using GRU

Basic Introduction Of GRU There are two primary issues with recurrent neural networks Calculations of gradients either fail or explode.

## News Classification using Neural Network

News Classification with Simple Neural Network is one of the application of Deep Learning. And here in this part of the blog, I am going to perform a Nepali ...

## Stock Price Prediction On Commercial Data Using RNN

Basic Introduction to RNN A type of neural network called a recurrent neural network (RNN) uses the output from a previous step as input for the current step...

## Stock Price Prediction On Commercial Data Using GRU

Basic Introduction Of GRU There are two primary issues with recurrent neural networks Calculations of gradients either fail or explode.

## How to do Data Science Project

Data science project can be a challenging but rewarding process. By following the steps we can use in this blog, you can work through the project in an organ...

## Mathematics Behind Support Vector Machine

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## Different method of Outliers Detection

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## How to do Data Science Project

Data science project can be a challenging but rewarding process. By following the steps we can use in this blog, you can work through the project in an organ...

## Mathematics Behind Support Vector Machine

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## Different method of Outliers Detection

Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as many other topics to help you sharpen your knowledge ...

## Is The Topology Was Discoverd Along With Graph.?’

Graph Graph Theory is the subject of study of graphs, which are mathematical structures used to model pairwise relations between objects.

## Is Graph is used in Physics and Chemistry?

Some application of Graph In real World.

## Is The Topology Was Discoverd Along With Graph.?’

Graph Graph Theory is the subject of study of graphs, which are mathematical structures used to model pairwise relations between objects.

## Is Graph is used in Physics and Chemistry?

Some application of Graph In real World.

## If x Subset Of Y Then Inverse Of x Also Subset Of Y?

Let $$f : X \rightarrow Y$$ be a function. If B is subset of y then its inverse image $$f^-B$$ is the subset of x define by

## If x Subset Of Y Then Inverse Of x Also Subset Of Y?

Let $$f : X \rightarrow Y$$ be a function. If B is subset of y then its inverse image $$f^-B$$ is the subset of x define by

## If x Subset Of Y Then Inverse Of x Also Subset Of Y?

Let $$f : X \rightarrow Y$$ be a function. If B is subset of y then its inverse image $$f^-B$$ is the subset of x define by

## If x Subset Of Y Then Inverse Of x Also Subset Of Y?

Let $$f : X \rightarrow Y$$ be a function. If B is subset of y then its inverse image $$f^-B$$ is the subset of x define by

## How To Convert Non Perfect Number Into Perfect Number Using Python?

Conversion From Non Perfect Number Into Perfect Number.

## How To Convert Decimal To Binary In Python?

Conversion From Decimal to Binary in Python.

## Nepali News (Gorkhapatra) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Gorkhapatra News Portal Using python and BeautifulSoup.

## Nepali News (Onlinekhabar Post) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From Onlinekhabar Post News Portal

Introduction

Introduction

Introduction

Introduction

## R Exercise: Association Rule Mining in R

Association Rule Mining

## R Exercise: Getting Started With ggplot in R

Getting Started with ggplot2 in R

## R Exercise: Polynomial Regression Model in R

Polynomial Regression

## Exploring Different types of Gradient Descent Algorithms

Gradient Descent Gradient Descent is the most popular optimizer to update parameters and it uses the gradient of the error with respect to the parameter. But...

## Stock Price Prediction On Commercial Data Using LSTM

Basic Introduction about LSTM RNNs are unable to remember long-term dependencies in time series data because of the vanishing gradient issue. An RNN version ...

## DBSCAN Clustering Algorithm

Introduction of Clustering Clustering is the process of organizing a collection of concrete or abstract things into classes of related objects. A cluster is ...

## Stock Price Prediction On Commercial Data Using LSTM

Basic Introduction about LSTM RNNs are unable to remember long-term dependencies in time series data because of the vanishing gradient issue. An RNN version ...

## DBSCAN Clustering Algorithm

Introduction of Clustering Clustering is the process of organizing a collection of concrete or abstract things into classes of related objects. A cluster is ...

## Stock Price Prediction On Commercial Data Using LSTM

Basic Introduction about LSTM RNNs are unable to remember long-term dependencies in time series data because of the vanishing gradient issue. An RNN version ...

## DBSCAN Clustering Algorithm

Introduction of Clustering Clustering is the process of organizing a collection of concrete or abstract things into classes of related objects. A cluster is ...

## How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms

Load the dataset First, import the packages required to continue.

## PCA from scratch

Introduction A method of dimensional reduction is PCA. When a machine learning method has a large number of features, we must choose the features that contri...

## Naive Bayes From Scratch

Previously, we wrote blogs on many machine learning algorithms(Classification, Predication) as well as many other topics to help you sharpen your knowledge o...

## Can sin(x) Uniformly Convergence On [a, b] ?

Show that the function

## Can sin(x) Uniformly Convergence On [a, b] ?

Show that the function

## Do You Know About History Of Matrix?

What is Matrices:-

## Do You Know About History Of Matrix?

What is Matrices:-

## How To Find Composite And Prime Using Python?

How to findout prime or composite.

## How To Find HCF Using Python?

How to findout HCF.

## How To Find Square Numbers From Given List Using Python?

How to findout Square Number.

## How To Find Multiple Numbers of 3 or 5 or Any Numbers from given range Using Python Dictionary?

How to findout multiple numbers.

## Nepali News (ekantipur) Scrapping Using BeautifulSoup and Python.

Scrapping News Data From ekantipur News Portal Using python and BeautifulSoup.

## Scrapping Tweets of a Person and Making a Word Cloud.

Text Mining and its Importance in NLP, ML and AI

t- test

## Making a Stack Data Type in Python

Making a Stack Data Type in Python

## Making a Stack Data Type in Python

Making a Stack Data Type in Python

## R Exercise: Pipe Operater In R

Data Analysis Using Pipe Operator in R

## R Exercise: Social Network Analysis

Social Network Analysis

## Logistic Regression from Scratch in Python: Exploring MSE and Log Loss

Logistic Regression From Scratch

## Exploring Different types of Gradient Descent Algorithms

Gradient Descent Gradient Descent is the most popular optimizer to update parameters and it uses the gradient of the error with respect to the parameter. But...

## R Exercise: Validation and Cross Validation for Predictive Modeling R

Validation & Cross-validation for Predictive Modelling including Linear Model as well as Multi Linear Model

## R Exercise: Monte Carlo Simulations in R

Monte Carlo Simulations

## R Exercise: Different Hypothesis Testing in R

What is Hypothesis Testing

## PCA from scratch

Introduction A method of dimensional reduction is PCA. When a machine learning method has a large number of features, we must choose the features that contri...

## PCA from scratch

Introduction A method of dimensional reduction is PCA. When a machine learning method has a large number of features, we must choose the features that contri...

## How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms

Load the dataset First, import the packages required to continue.

## How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms

Load the dataset First, import the packages required to continue.