Neural Style Transfer from BTS to BTS
Intro
Posts by Category
- Ml-p 7
- Cs-ds 6
- Tips-blog 2
- Stat-num 2
- Projects-fn 1
- Ml-e 1
- Data-tab 1
- Projects-db 1
- Data-text 1
- Data-webs 1
Ml-p
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 ...
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
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.
Credit Card Fraud Detection with Anomaly Detection
Link to my GitHub directory
Cs-ds
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 ...
Tips-blog
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...
The shortest intro of GitHub Pages
GitHub Pages: Static website (blog) hosting service
Stat-num
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...
Projects-fn
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...
Ml-e
Scoring metrics for binary classifications
There are various terms about the scoring metrics about classification machine learning models. Let’s summarize them here!
Data-tab
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!
Projects-db
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 ...
Data-text
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!
Data-webs
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!