Sort algorithms
Sort makes searches faster. Let’s cover famous sorting algorithms with their complexity and implementation. Implementation can vary a little, but the complex...
Posts by Tag
- Computer sciences 6
- Data structure 6
- Algorithm 4
- Credit card fraud detection 3
- Linear regression 3
- Goodness of fit 2
- Statistics 2
- Python 2
- Anomaly detection 1
- Tips 1
- GitHub Pages 1
- Jekyll 1
- Memory structure 1
- Array 1
- Structure 1
- Node 1
- Linked list 1
- Stack 1
- Queue 1
- Deque 1
- Tree 1
- Heap 1
- Sort 1
- Fake news 1
- LSTM 1
- RNN 1
- Naive Bayes 1
- Feedforward Neural Network 1
- One-hot encoding 1
- Word embedding 1
- Glove 1
- Maching learning 1
- Bagging 1
- Ensemble learning 1
- Reduced chi-square 1
- Gradient descent 1
- Machine learning 1
- Scoring metric 1
- Housing price prediction 1
- Error propagation 1
- Logistic regression 1
- KNN 1
- Decision Tree 1
- Classification 1
- Handwrite digits 1
- k-Means 1
- MathJax 1
- Minimal-Mistakes 1
- Pandas 1
- Tabular data 1
- Data manipulation 1
- Merge 1
- Income prediction 1
- Statistical modeling 1
- Chi-squared test 1
- Text preprocessing 1
- NLTK 1
- Lemmatize 1
- Tokenize 1
- Part-of-speech tagging 1
- Text cleaning 1
- Regex 1
- Web crawling 1
- Web scraping 1
- BeautifulSoup 1
- Html 1
- Neural Style Transfer 1
Computer sciences
Heap
A heap is a complete binary tree, where every parent has a key greater than or equal to (max heap) or less than or equal to (min heap) its child’s key.
Tree
A tree is a data structure that represents a hierarchical relationship. A link to another node is one way (only from higher to lower, no cyclic connection),...
Stack, Queue, and Deque
Stack, Queue, and Deque are commonly used linear (ordered) data strucrues. They vary depending on the position of insertion and deletion operation.
Linked List
This post will briefly introduce about the linked list and its variations.
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Data structure
Sort algorithms
Sort makes searches faster. Let’s cover famous sorting algorithms with their complexity and implementation. Implementation can vary a little, but the complex...
Heap
A heap is a complete binary tree, where every parent has a key greater than or equal to (max heap) or less than or equal to (min heap) its child’s key.
Tree
A tree is a data structure that represents a hierarchical relationship. A link to another node is one way (only from higher to lower, no cyclic connection),...
Stack, Queue, and Deque
Stack, Queue, and Deque are commonly used linear (ordered) data strucrues. They vary depending on the position of insertion and deletion operation.
Linked List
This post will briefly introduce about the linked list and its variations.
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Algorithm
Sort algorithms
Sort makes searches faster. Let’s cover famous sorting algorithms with their complexity and implementation. Implementation can vary a little, but the complex...
Heap
A heap is a complete binary tree, where every parent has a key greater than or equal to (max heap) or less than or equal to (min heap) its child’s key.
Tree
A tree is a data structure that represents a hierarchical relationship. A link to another node is one way (only from higher to lower, no cyclic connection),...
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Credit card fraud detection
Credit Card Fraud Detection with K-Nearest Neighbors
Intro We will build a logistic regression model using PCA transformed data. Dataset: data/creditcard.csv source: Kaggle Previously, I built this model with L...
Credit Card Fraud Detection with Logistic Regression
Intro We will build a logistic regression model using PCA transformed data. Dataset: data/creditcard.csv source: Kaggle
Credit Card Fraud Detection with Anomaly Detection
Link to my GitHub directory
Linear regression
Dancer’s Business
In this project, I’ll predict a dancer’s income in five different cities in the U.S. by statistical modeling with various data. Please find many interesting ...
Housing price prediction with linear regression
Intro This project is the famous housing price prediction. Description of data field can be found at the dataset source.
Statistics about Linear Regression
Linear regression can build a statistical model which predicts a continuous numerical output using a continuous numerical input(s). Simply, it finds a parame...
Goodness of fit
Dancer’s Business
In this project, I’ll predict a dancer’s income in five different cities in the U.S. by statistical modeling with various data. Please find many interesting ...
Statistics about Linear Regression
Linear regression can build a statistical model which predicts a continuous numerical output using a continuous numerical input(s). Simply, it finds a parame...
Statistics
Error Propagation for Statistical Modeling
Let’s say you have a dataset with \(x\) and \(y\) features, and then you want to build a model,
Statistics about Linear Regression
Linear regression can build a statistical model which predicts a continuous numerical output using a continuous numerical input(s). Simply, it finds a parame...
Python
Web crawling with Python and BeautifulSoup (and a little HTML)
Here, I’m presenting my code I used to scrape fact check news data from the politifact webpage. It is easy!
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Anomaly detection
Credit Card Fraud Detection with Anomaly Detection
Link to my GitHub directory
Tips
The shortest intro of GitHub Pages
GitHub Pages: Static website (blog) hosting service
GitHub Pages
The shortest intro of GitHub Pages
GitHub Pages: Static website (blog) hosting service
Jekyll
The shortest intro of GitHub Pages
GitHub Pages: Static website (blog) hosting service
Memory structure
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Array
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Structure
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Node
Intro of data structure and algorithm
A data structure is an expression of objects in computing, which describes an organization of data with rules of operations within. An algorithm is a finite ...
Linked list
Linked List
This post will briefly introduce about the linked list and its variations.
Stack
Stack, Queue, and Deque
Stack, Queue, and Deque are commonly used linear (ordered) data strucrues. They vary depending on the position of insertion and deletion operation.
Queue
Stack, Queue, and Deque
Stack, Queue, and Deque are commonly used linear (ordered) data strucrues. They vary depending on the position of insertion and deletion operation.
Deque
Stack, Queue, and Deque
Stack, Queue, and Deque are commonly used linear (ordered) data strucrues. They vary depending on the position of insertion and deletion operation.
Tree
Tree
A tree is a data structure that represents a hierarchical relationship. A link to another node is one way (only from higher to lower, no cyclic connection),...
Heap
Heap
A heap is a complete binary tree, where every parent has a key greater than or equal to (max heap) or less than or equal to (min heap) its child’s key.
Sort
Sort algorithms
Sort makes searches faster. Let’s cover famous sorting algorithms with their complexity and implementation. Implementation can vary a little, but the complex...
Fake news
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
LSTM
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
RNN
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Naive Bayes
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Feedforward Neural Network
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
One-hot encoding
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Word embedding
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Glove
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Maching learning
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Bagging
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Ensemble learning
Fake news detection
I’m introducing my automative fake news detection machine learning project. Since there is no concensus theory in detection of fake news solely based on news...
Reduced chi-square
Statistics about Linear Regression
Linear regression can build a statistical model which predicts a continuous numerical output using a continuous numerical input(s). Simply, it finds a parame...
Gradient descent
Statistics about Linear Regression
Linear regression can build a statistical model which predicts a continuous numerical output using a continuous numerical input(s). Simply, it finds a parame...
Machine learning
Scoring metrics for binary classifications
There are various terms about the scoring metrics about classification machine learning models. Let’s summarize them here!
Scoring metric
Scoring metrics for binary classifications
There are various terms about the scoring metrics about classification machine learning models. Let’s summarize them here!
Housing price prediction
Housing price prediction with linear regression
Intro This project is the famous housing price prediction. Description of data field can be found at the dataset source.
Error propagation
Error Propagation for Statistical Modeling
Let’s say you have a dataset with \(x\) and \(y\) features, and then you want to build a model,
Logistic regression
Credit Card Fraud Detection with Logistic Regression
Intro We will build a logistic regression model using PCA transformed data. Dataset: data/creditcard.csv source: Kaggle
KNN
Credit Card Fraud Detection with K-Nearest Neighbors
Intro We will build a logistic regression model using PCA transformed data. Dataset: data/creditcard.csv source: Kaggle Previously, I built this model with L...
Decision Tree
Used Car Acceptance Prediction with Decision Tree
Intro We will build a decision tree classification model using a used car evaluation dataset.. This is a simple decision tree practice. Field description ...
Classification
Used Car Acceptance Prediction with Decision Tree
Intro We will build a decision tree classification model using a used car evaluation dataset.. This is a simple decision tree practice. Field description ...
Handwrite digits
Back to top ↑k-Means
Back to top ↑MathJax
Display math equations to Minimal Mistakes using MathJax
By default, you can’t display math equations in Latex style with Minimal Mistakes theme, but you can using MathJax. I found the very simple instruction about...
Minimal-Mistakes
Display math equations to Minimal Mistakes using MathJax
By default, you can’t display math equations in Latex style with Minimal Mistakes theme, but you can using MathJax. I found the very simple instruction about...
Pandas
Merge various datasets with Pandas
Here, I’m presenting my code I used to manipulate and merge multiple datasets. This is part of my dancer’s business project. Hope it is useful!
Tabular data
Merge various datasets with Pandas
Here, I’m presenting my code I used to manipulate and merge multiple datasets. This is part of my dancer’s business project. Hope it is useful!
Data manipulation
Merge various datasets with Pandas
Here, I’m presenting my code I used to manipulate and merge multiple datasets. This is part of my dancer’s business project. Hope it is useful!
Merge
Merge various datasets with Pandas
Here, I’m presenting my code I used to manipulate and merge multiple datasets. This is part of my dancer’s business project. Hope it is useful!
Income prediction
Dancer’s Business
In this project, I’ll predict a dancer’s income in five different cities in the U.S. by statistical modeling with various data. Please find many interesting ...
Statistical modeling
Dancer’s Business
In this project, I’ll predict a dancer’s income in five different cities in the U.S. by statistical modeling with various data. Please find many interesting ...
Chi-squared test
Dancer’s Business
In this project, I’ll predict a dancer’s income in five different cities in the U.S. by statistical modeling with various data. Please find many interesting ...
Text preprocessing
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
NLTK
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Lemmatize
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Tokenize
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Part-of-speech tagging
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Text cleaning
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Regex
Text preprocessing with Python NLTK package
Here, I’m presenting my code I used to clean text data for my fake news detection project. I hope it is useful!
Web crawling
Web crawling with Python and BeautifulSoup (and a little HTML)
Here, I’m presenting my code I used to scrape fact check news data from the politifact webpage. It is easy!
Web scraping
Web crawling with Python and BeautifulSoup (and a little HTML)
Here, I’m presenting my code I used to scrape fact check news data from the politifact webpage. It is easy!
BeautifulSoup
Web crawling with Python and BeautifulSoup (and a little HTML)
Here, I’m presenting my code I used to scrape fact check news data from the politifact webpage. It is easy!
Html
Web crawling with Python and BeautifulSoup (and a little HTML)
Here, I’m presenting my code I used to scrape fact check news data from the politifact webpage. It is easy!