Dealing with Outliers
Tag
- Python 21
- Machine-Learning 16
- Scikit-learn 13
- Data_Structure 11
- python 6
- SQL 5
- Classification 4
- Pandas 4
- Matplotlib 4
- Seaborn 4
- Numpy 4
- Project 4
- XGBoost 4
- LightGBM 4
- Data_Cleaning 4
- Regression 2
- Data-Preprocessing 1
- Decision-trees 1
- Random forests 1
- GBM 1
- Kernelized-SVM 1
- Imbalanced_data 1
- Undersampling 1
- SMOTE 1
- Lasso 1
- Ridge 1
- Stacking 1
- Time_Complexity 1
- Space_Complexity 1
- Big-O 1
- Data_types 1
- DFS 1
- BFS 1
- Bellman_Ford 1
Python
Handling Missing Values
A perfect data set is usually a big win for any data scientist or machine learning engineer. Unfortunately, more often than not, datasets will have missing d...
PCA
Eigenvectors and Eigenvalues
Kruskal’s Algorithm
신장 트리
Floyd-Warshall Algorithm
플로이드 워셜 알고리즘 개요
Dijkstra’s Shortest Path Algorithm
Dijkstra’s algorithm allows us to find the shortest path between any two vertices of a graph.
Sorting Algorithm
Selection Sort
Dynamic Programming
Dynamic Programming is a technique in computer programming that helps to efficiently solve a class of problems that have overlapping subproblems and optimal ...
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Evaluation
We summarize how well a supervised model performs on a given dataset. Accuracy Classification accuracy is a metric that summarizes the performance of...
Data Preprocessing
Encoding for Categorical variables Most Machine learning algorithms can not handle categorical variables unless we convert them to numerical values...
Machine-Learning
Handling Missing Values
A perfect data set is usually a big win for any data scientist or machine learning engineer. Unfortunately, more often than not, datasets will have missing d...
PCA
Eigenvectors and Eigenvalues
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Evaluation
We summarize how well a supervised model performs on a given dataset. Accuracy Classification accuracy is a metric that summarizes the performance of...
Data Preprocessing
Encoding for Categorical variables Most Machine learning algorithms can not handle categorical variables unless we convert them to numerical values...
Scikit-learn
Handling Missing Values
A perfect data set is usually a big win for any data scientist or machine learning engineer. Unfortunately, more often than not, datasets will have missing d...
PCA
Eigenvectors and Eigenvalues
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Evaluation
We summarize how well a supervised model performs on a given dataset. Accuracy Classification accuracy is a metric that summarizes the performance of...
Data Preprocessing
Encoding for Categorical variables Most Machine learning algorithms can not handle categorical variables unless we convert them to numerical values...
Data_Structure
Kruskal’s Algorithm
신장 트리
Floyd-Warshall Algorithm
플로이드 워셜 알고리즘 개요
Dijkstra’s Shortest Path Algorithm
Dijkstra’s algorithm allows us to find the shortest path between any two vertices of a graph.
Sorting Algorithm
Selection Sort
Searching Algorithm
Linear Search (순차 탐색)
Dynamic Programming
Dynamic Programming is a technique in computer programming that helps to efficiently solve a class of problems that have overlapping subproblems and optimal ...
Graph-based DSA
탐색(Search)이란 많은 양의 데이터 중에서 원하는 데이터를 찾는 과정
Data Structures
Stack
Implementation
알고리즘은 간단한데 코드가 지나칠 만큼 길어지는 문제 실수 연산을 다루고, 특정 소수점 자리까리 출력해야 하는 문제 문자열을 특정한 기준에 따라서 끊어 처리해야 하는 문제 적절한 라이브러리를 찾아서 사용해야 하는 문제
Greedy Algorithm
The algorithm never reverses the earlier decision, even if the choice is wrong. It works in a top-down approach.
python
Searching Algorithm
Linear Search (순차 탐색)
Graph-based DSA
탐색(Search)이란 많은 양의 데이터 중에서 원하는 데이터를 찾는 과정
Data Structures
Stack
Implementation
알고리즘은 간단한데 코드가 지나칠 만큼 길어지는 문제 실수 연산을 다루고, 특정 소수점 자리까리 출력해야 하는 문제 문자열을 특정한 기준에 따라서 끊어 처리해야 하는 문제 적절한 라이브러리를 찾아서 사용해야 하는 문제
Greedy Algorithm
The algorithm never reverses the earlier decision, even if the choice is wrong. It works in a top-down approach.
Python_Basic
Data Types
SQL
SQL: Strata Scratch test
This is for the interview of SQL.
SQL: Hacker Rank Questions 1
Q1. Weather Observation Station 3
SQL: Data Manipulation
Add data to a table
SQL: Joins
1. (Inner) JOIN
Classification
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Pandas
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Matplotlib
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Seaborn
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Numpy
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Project
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
XGBoost
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
LightGBM
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Kaggle- Santander Customer Satisfaction
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy...
Data_Cleaning
SQL: Strata Scratch test
This is for the interview of SQL.
SQL: Data Manipulation
Add data to a table
SQL: Joins
1. (Inner) JOIN
Regression
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Data-Preprocessing
Data Preprocessing
Encoding for Categorical variables Most Machine learning algorithms can not handle categorical variables unless we convert them to numerical values...
Decision-trees
Back to top ↑Random forests
Back to top ↑GBM
Back to top ↑Kernelized-SVM
Back to top ↑Imbalanced_data
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Undersampling
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
SMOTE
Kaggle- Creditcard_Fraud_Detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that t...
Lasso
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Ridge
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Stacking
Kaggle-House Prices - Advanced Regression Techniques
House price regression Techniques Goal: We predict the final price of each home based on the given features. Metric: Root-Mean-Squar...
Time_Complexity
Complexity
Time complexity
Space_Complexity
Complexity
Time complexity
Big-O
Complexity
Time complexity
Data_types
Python_Basic
Data Types
DFS
Graph-based DSA
탐색(Search)이란 많은 양의 데이터 중에서 원하는 데이터를 찾는 과정
BFS
Graph-based DSA
탐색(Search)이란 많은 양의 데이터 중에서 원하는 데이터를 찾는 과정
Bellman_Ford
Graph-based DSA
탐색(Search)이란 많은 양의 데이터 중에서 원하는 데이터를 찾는 과정