int main() { char filename[] = "Auto insurance.csv"; char line[1024]; row = get_row(filename); col = get_col(filename); dataset = (double **)malloc(row * sizeof(double *)); for (int i = 0; i < row; ++i) { dataset[i] = (double *)malloc(col * sizeof(double)); ...
dataset=pd.read_csv(path)#path是数据文件存储路径x=dataset.iloc[:,:1].values y=dataset.iloc[:,1].values#注意上面是小写x,yx_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.25,random_state=0)#将训练集打散,这个就不多说,数据预处理里面提到过n_samples=x_train.shape[0]#...
dataset=pd.read_csv('/Users/xiehao/Desktop/100-Days-Of-ML-Code-master/datasets/studentscores.csv')X=dataset.iloc[:,:1].valuesY=dataset.iloc[:,1].values X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=1/4,random_state=0)regressor=LinearRegression()regressor=regressor.fi...
A python implementation of linear regression algorithm. (including Maximum Likelihood, Maximum a posterior, Bayesian) - williamd4112/simple-linear-regression
# Simple Linear Regression # Importing the dataset dataset = read.csv('Salary_Data.csv') # Splitting the dataset into the Training set and Test set # install.packages('caTools') library(caTools) set.seed(123) split = sample.split(dataset$Salary, SplitRatio = 2/3) ...
# Importing the librariesimportnumpyasnpimportmatplotlib.pyplotaspltimportpandasaspd# Importing the datasetdataset = pd.read_csv('Salary_Data.csv') X = dataset.iloc[:, :-1].values#除了最后一列的其他列y = dataset.iloc[:,1].values#第二列# Splitting the dataset into the Training set and Tes...
# Simple Linear Regression"""利用簡易線性回歸模型(1個自變數)作薪水預測"""# Importing the libraries"""匯入庫"""importnumpyasnpimportmatplotlib.pyplotaspltimportpandasaspd# Importing the dataset"""匯入數據集"""dataset=pd.read_csv('Salary_Data.csv')X=dataset.iloc[:,:-1].valuesy=dataset.iloc...
Loads the dataset fromcsv_fileusingpd.read_csv()intoself.data. Initializes with an optionaltransformparameter to preprocess features. Length (__len__method) Functionality: Returns the number of samples in the dataset (len(self.data)).
Workflow from the My workspace menu, as obtained after the importation of the four CSV files and the change of a variable type in the last dataset “Metadata” (that contains the uploaded data describing the design of the experiment) Full size image Exploratory analysis of the design of the ...
Tools → Machine Learning → Machine Learning Regression Step 2: Machine Learning Window In the Machine Learning Regression Window on the left down corner there is the green cross button. Press it to open the add file window. Step 3: Add File The application, currently, supports CSV and XLSX...