def execute_pipeline(features,target)
  '''
  Takes in features(X) and target(y) and performs a grid search
  by Logistic Regression, SVM, and Random Forest.
  '''
  import numpy as np
  from scipy.stats import uniform
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import GridSearchCV
  from sklearn.pipeline import Pipeline, FeatureUnion
  from sklearn.decomposition import PCA
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import SVC
  from sklearn.ensemble import RandomForestClassifier