Channi Studies

Data StructureA data structure is a way of organizing, storing, and performing operations on data.Some of the operations that can be performed on a data structure include accessing or updating data, searching for specific data, inserting new data, and removing data. In our post, we will take on data structures while focusing on the array and linked list. These basic data structures form many abs..

A data structure is a way of organizing, storing, and performing operations on data. Array, Linked list, Hash table are some examples of basic data structures.  The selection of data structures used in a program depends on both the type of data being stored and the operations the program may need to perform on that data. Appending a data into an array and linked list both requires 0 data shift. ..

There are two types of predictions in data science. Regression은 numerical data를 예측하는데 사용하고, Classification 은 cateogorical data를 예측하는데 사용합니다.  예를 들어, 우리가 사용하는 이메일의 스팸 메일함이 있습니다.메일의 텍스트 데이터를 기반으로 스팸인지 아닌지, Yes or No 에 해당하는 Cateogorical variable을 예측합니다. Input = Text / Output = Yes or No (Spam, Not Spam) Classification에 대해서 더 자세히 알아보기 이전, 간단하게 Machine Learning에 대해서 알아보겠습니다.  Machine Learning Algorit..

In a simple linear regression line (LMS), the regression line can be expressed as following equation:y = ax + bwherey = The variable that you want to predict (예측하고 싶은 값) | Dependent variable (종속 변수)x = The variable that you are using to predict (예측에 사용하는 값) | Independent variable (독립 변수)a = Slope (기울기)b = y-intercept (y 절편) 그렇다면, y = ax+b 에서 slope(a)와 y-intercept(b)는 어떻게 구하는지 알아보겠습니다. Recall, r ..