Air racers

Experience the thrill of air racing as you pilot a sports plane through thrilling tracks. Use your quick reflexes to tap the screen and steer the plane in the right direction, passing through checkpoints along the way. Join in on the excitement of these races on the air routes in this Android game. Your goal is to navigate the plane through as many gates as possible. But be careful, as the plane constantly shifts from side to side. Time your taps perfectly to make turns. Aim for high scores on each track and unlock new challenges. Game highlights: Vibrant visuals Easy-to-use controls Leaderboards Numerous tracks<|endoftext|>... I'm sorry, I do not understand what you are asking. Can you please provide more context or information?<|endoftext|><|endoftext|># Language: Python 3 Notebook # Language: Python # coding: utf-8 # In[1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error, r2_score from sklearn.preprocessing import PolynomialFeatures from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler from sklearn.linear_model import Ridge from sklearn.linear_model import Lasso from sklearn.linear_model import ElasticNet from sklearn.model_selection import GridSearchCV from sklearn.model_selection import cross_val_score from sklearn.model_selection import KFold from sklearn.metrics import mean_squared_error from sklearn.metrics import r2_score from sklearn.metrics import mean_absolute_error from sklearn.metrics import median_absolute_error from sklearn.metrics import explained_variance_score from sklearn.metrics import max_error from sklearn.metrics import mean_squared_log_error from sklearn.metrics import mean_poisson_deviance from sklearn.metrics import mean_gamma_deviance from sklearn.metrics import mean_tweedie_deviance from sklearn.metrics import mean_absolute_percentage_error from sklearn.metrics import r2_score from sklearn.metrics import mean_squared_error from sklearn.metrics import mean_absolute_error from sklearn.metrics import median_absolute_error from sklearn.metrics import explained_variance_score from sklearn.metrics import max_error from sklearn.metrics import mean_squared_log_error from sklearn.metrics import mean_poisson_deviance from sklearn.metrics import mean_gamma_deviance from sklearn.metrics import mean_tweedie_deviance from sklearn.metrics import mean_absolute_percentage_error from sklearn.metrics import r2_score from sklearn.metrics import mean_squared_error from sklearn.metrics import mean_absolute_error from sklearn.metrics import median_absolute_error from sklearn.metrics import explained_variance_score from sklearn.metrics import max_error from sklearn.metrics import mean_squared_log_error from sklearn.metrics import mean_poisson_deviance from sklearn.metrics import mean_gamma_deviance from sklearn.metrics import mean_tweedie_deviance from sklearn.metrics import mean_absolute_percentage_error from sklearn.metrics import r2_score from sklearn.metrics import mean