올리비아 코딩스쿨

1. simple linear regression will refer to one independent variable to make a prediction y= b+ax b: the intercept a: the slope fit X: Predictor variable Y: Target variable import linear_model from scikit-learn create a linear regression object using the constructor define the predictor, target variable use fit() - fine the parameters b, a obtain a prediction from sklearn.linear_model import Linea..

exploratory data analysis is preliminary step in data analysis to -summarize main characteristics, gain better understanding of the data set, uncover relationships between variables, extract important variables 1. descriptive statistics describe basic features of data. -describe() -df.describe(include=['object']) -value_counts() df['drive-wheels'].value_counts() df['drive-wheels'].value_counts()..

pre-procecessing 1. dealing with missing values in python -isnull(), notnull(), value_count() -dropna() df.replace("?", np.nan, inplace = True) 2. data formatting -bring data into a common standard of expressions(n.y->newyork) -applying calculations to an entire column(convert kg to t) -incorrect data types(sometimes the wrong data type is assigned to feature. Change object to numerous type. dat..