betas

def betas_prediction(X,Y):
    Betas = dot(inv(dot(X_train.T,X_train)),dot(X_train.T,y_train).T)
#Generating predictions from Betas vector
    y_predict = 1/(1+np.exp(-1*dot(X_test,Betas)))
    return Betas,y_predict
Betas,y_predict = betas_prediction(X_train,y_train)


plt.scatter(X_test[:,0].ravel(),y_predict.ravel())
plt.show()
plt.close()
Betas