들어가며 흔히 바둑에선 대국이 끝난 뒤, 앞서 놓은 순서대로 돌을 두어보는 일을 복기(復棋)라고 한다. 승패가 이미 결정 난 바둑판을 보며 무엇을 잘못했고 무엇을 배울 수 있는지 돌아보는 시간을 가지며, 바둑뿐 아니라 인생의 실력을 기른다고 한다. 이번 글은 지난

Aside from simply installing the React development set-up by the command, We will try to manually create the development setting. Before starting the

Inheritance In object-oriented programming, inheritance is the mechanism of basing an object or class upon another object or class, retaining similar

The previous post talked about namespace of class and instances and its relationship. On this post, we will be learning about class variable and insta

It is important to understand the difference between class and instance. To do so, we must familiarize ourselves to concept of namespace. Namespace d

Previously, we learned that the functions defined within the Class are methods and that we will assume that the first parameter of methods must be sel

So far, we have learned..programmer can make new type of data using Python's classclass is composed of data and methods (functions) which handle the d

Object Oriented Programming (OOP)computer programming model that organizes software design around data, or objects, rather than function and logics By

* Ensemble Learning * : process by which multiple models, such as classifiers or experts, are strategically generated and combined to solve a partic

Today, we will be using decision tree to perform classification prediction on UCI Machine Learning Repository's Human Activity Recognition dataset. Th

Leetcode : Max Number of K-Sum PairsDescriptionYou are given an integer array nums and an integer k. In one operation, you can pick two numbers from t

Minimum Operations to Reduce X to ZeroDescriptionYou are given an integer array nums and an integer x. In one operation, you can either remove the lef

Brief Summay A supervised learning is a machine learning task of learning a function that maps an input to an output based on example input-output p

Receiver Operation Curve (ROC) and Area Under Curve (AUC) are important evaluation metrics used in evaluating the performance of the binary classifica

F1-score is the weighted average of precision and recall. Hence, since it takes both FP and FN into account, better the balance between precision and

Precision and Recall are evaluation metrics which emphasize the performance in positive data-set. Precision = (TP) / (TP + FP) ratio of correctly pr

Confusion Matrix which is often used as an evaluation metrics in binary classification shows how much the model is confused while performing the predi

So far, we have studied various techniques (ex- train/test-split, GridSearchCV, Standardization, Normalization, Data Preprocessing) to enhance our mac

Kaggle : Titanic DatasetAs a review, we will be using train.csv from Kaggle's Titanic dataset to predict the survivors from the disaster.Input OutputP

Leetcode : Word LadderDescriptionGiven two words beginWord and endWord, and a dictionary wordList, return the length of the shortest transformation se