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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

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 .

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...

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...

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.

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 ...

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)

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

Introduction

Introduction

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...

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...

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.

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 ...

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

Introduction

Introduction

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

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...

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

Let $$F : x \Rightarrow y$$

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

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

Show that the function

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...

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.

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 (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

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 Preprocessing of Dataset Before Applying Machine Learning Algorithms

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

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 Preprocessing of Dataset Before Applying Machine Learning Algorithms

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

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.

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...

The Power of ‘Why not?’

Introduction What if I did this? What if I couldn’t do this?  (a + b)^2 = a^2 + 2ab + b^2 (a - b)^2 = a^2 - 2ab + b^2

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...

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)

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 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

Dataframe in R.

Getting Started With Dataframe.

Getting Started with R Programming Language.

Getting Started With R .

Does the vector space contain more than one zero vector?

Homework Assigment 1 of linear Algebra Solution set 1

Does the vector space contain more than one zero vector?

Homework Assigment 1 of linear Algebra Solution set 1

Do You Know About History Of Matrix?

What is Matrices:-

What Is Fourier Series?

What is fourior Series

What Is Fourier Series?

What is fourior Series

Scrapping Tweets of a Person and Making a Word Cloud.

Text Mining and its Importance in NLP, ML and AI

t- test

t- test

Making a Stack Data Type in Python

Making a Stack Data Type in Python