text_plain_output_1.png
from dask.diagnostics import ProgressBar
from dask.distributed import progress
from distributed import Client
client = Client()
client
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = 'all'
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import math
import pandas_profiling
import dask
import dask.dataframe as dd
import datetime
import warnings
warnings.filterwarnings('ignore')
import os
print(os.listdir('../input/new-york-city-taxi-fare-prediction'))