Load data data=pd.read_csv('Simple Linear Regression.csv') View data data.head() staff_wage_mean is a feature,shanghai_GDP is target. Divide the data set into train sets and test sets. train,test=train_test_spli
float variance(float* values, float mean, int length); void coefficients(float** data, float* coef, int length); int main() { char filename[] = "Auto insurance.csv"; char line[1024]; row = get_row(filename); col = get_col(filename); dataset = (double **)malloc(row * sizeof...
X_train, X_test, Y_train, Y_test = train_test_split( X, Y, test_size = 1/4, random_state = 0) #Step 2: Fitting Simple Linear Regression Model to the training set from sklearn.linear_model import LinearRegression regressor=LinearRegression() regressor=regressor.fit(X_train,Y_train) ...
# 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) training_set = subset(...
A python implementation of linear regression algorithm. (including Maximum Likelihood, Maximum a posterior, Bayesian) - williamd4112/simple-linear-regression
regressor = LinearRegression() regressor.fit(X_train,y_train)# 通过train集找到曲线# 对测试集进行预测y_pred = regressor.predict(X_test)# visualising the Traning set resultsplt.scatter(X_train, y_train, color ='red') plt.plot(X_train, regressor.predict(X_train), color ='blue') ...
Save the file as CSV file called “housing.csv” To complete this assignment: Import the “housing.csv” file into SAS Studio and name the resulting data set as “housing” data set. Hint: Uncheck the OPTIONS: Generate SAS variable names. ...
HANA Talk is a small Javascript class which help facilitate the communication between your front end html/js files and HANA database when using SAP HANA XS Engine. This is intended to help people who are just starting out development on XS Engine and would like a easy place to get their ...
The sappoll utility can now output data in a csv file format. This file output can later be used for additional processing. Experimental support is now available for spoofing MAC address in small number of simulated devices. The trap generator utility “strapgen” has been enhanced to support ...
Examples of parameters include Linear Regression coefficient, Neural Network weight and biases, and K-means cluster centroid. As you can see, the values of the model parameters change independently as we learn from the data. The parameter value is constantly updated in the model iteration until th...