R Exercise: Different Hypothesis Testing in R
What is Hypothesis Testing
Posts by Category
- R 15
- Machine 15
- Learning 12
- Exercise 12
- Linear-Algebra 8
- Measure-theory 7
- Python-Beginner 6
- Project 6
- Data 6
- Science 6
- Natural-Language-Processing 5
- Monte 4
- Carlo 4
- Simulation 4
- General 3
- Learing 3
- Graph-theory 2
- Differential-Equation 2
- Basic 2
- Linear 1
- Algebra 1
- Matrix-Theory 1
- Differential 1
- Equation 1
- Projects 1
- Parametric 1
- Test 1
- DSA 1
- Statistics 1
R
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 .
Machine
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...
How Mathematically Naive Bayes Classifier Works?
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our sit...
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 one of the most widely used optimizers for updating model parameters in machine learning. It works by calculating the gr...
Logistic Regression from Scratch in Python: Exploring MSE and Log Loss
Logistic Regression From Scratch
K Medoids Clustering in Python from Scratch
Introduction
Kmeans Clustering in Python from Scratch
Introduction
Learning
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...
How Mathematically Naive Bayes Classifier Works?
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our sit...
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 one of the most widely used optimizers for updating model parameters in machine learning. It works by calculating the gr...
Logistic Regression from Scratch in Python: Exploring MSE and Log Loss
Logistic Regression From Scratch
K Medoids Clustering in Python from Scratch
Introduction
Kmeans Clustering in Python from Scratch
Introduction
Exercise
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
Linear-Algebra
Zero Vector and its basis.
Question: Does the zero vector have no basis? Justify . Construct the real polynomial degree at most 2 whose graph contaions the point \((-4 , 24) ,(1 , 9)\ ...
Example of row echelon form and reduce row echelon form of matrix.
Question: Find row echelon form and reduce row echelon form A = \(\left[\begin{array}{cc} 0&-1 &2&3&4\\2&1&3&4&1\\1&3...
Is The Trace of square matrix product of its diagonal element?
Question: Is the trace of square matrice the product of its diagonal entries ? Justify. Determine whether the set \(w = [ (a_1 , a_2 , a_3) \in R_3 : a_1 + 2...
May a vector space have more than one zero vector? Justify
Question: May a vector space have more than one zero vector?justify. Let \(v = {(a_1, a_2):a_1, a_2 \in R}\). for \((a_1, a_2)\) , \((b_1, b_2)\) = \((a_1 + ...
Is the zero vector a linear combination of any nonempty set of vectors?
Question: Is the zero vector a linear combination of any nonempty set of vectors ? Justify. Is the set of all differential real valued functions defined on R...
Is the span of X is X? Does every vector space have finite basis?
Question a: Is the span of \(\phi\) is \(\phi\) ? justify. The vectors \(u_1 = ( 2, -3 , 1) , u_2 = (1 , 4 , -2) , u_3 = (-8 , 12 , -4) , u_4 = ( 1 , 37 , -1...
Is the empty set a subspace of every vector space? Justify
Question:a. Is the empty set a subspace of every vector space ? Justify and let s = \({(a, b, (a + b):a, b \in R)}\) . Is a subspace of \(R^3\) under the us...
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...
Measure-theory
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...
Python-Beginner
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.
Project
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
Data
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
In the past, we have authored blog posts covering a wide range of topics, including machine learning algorithms such as classification and prediction. Our in...
Different method of Outliers Detection
In the past, we have authored blog posts covering a wide range of topics, including various machine learning algorithms such as Classification and Prediction...
Different Method of Model Evaluation(Part2)
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our site ...
Different Method of Model Evaluation
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our site ...
How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms
Load the dataset First, import the packages required to continue.
Science
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
In the past, we have authored blog posts covering a wide range of topics, including machine learning algorithms such as classification and prediction. Our in...
Different method of Outliers Detection
In the past, we have authored blog posts covering a wide range of topics, including various machine learning algorithms such as Classification and Prediction...
Different Method of Model Evaluation(Part2)
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our site ...
Different Method of Model Evaluation
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our site ...
How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms
Load the dataset First, import the packages required to continue.
Natural-Language-Processing
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
Natural Language Processing Pipeline
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.
Monte
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...
Carlo
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...
Simulation
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...
General
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...
Learing
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)
Graph-theory
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.
Differential-Equation
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
Basic
Dataframe in R.
Getting Started With Dataframe.
Getting Started with R Programming Language.
Getting Started With R .
Linear
Does the vector space contain more than one zero vector?
Homework Assigment 1 of linear Algebra Solution set 1
Algebra
Does the vector space contain more than one zero vector?
Homework Assigment 1 of linear Algebra Solution set 1
Matrix-Theory
Do You Know About History Of Matrix?
What is Matrices:-
Differential
What Is Fourier Series?
What is fourior Series
Equation
What Is Fourier Series?
What is fourior Series
Projects
Scrapping Tweets of a Person and Making a Word Cloud.
Text Mining and its Importance in NLP, ML and AI
Parametric
Back to Top ↑Test
Back to Top ↑DSA
Making a Stack Data Type in Python
Making a Stack Data Type in Python
Statistics
Kruskal Wallis H Test in News Data
Kruskal Wallis H Test