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!pip install Unidecode
from unidecode import unidecode
from gensim.parsing.preprocessing import remove_stopwords
from gensim import utils
import nltk
nltk.download('words')
global_words = set(nltk.corpus.words.words())

data = pd.read_csv("Whatever_your_path_is", sep='\t', error_bad_lines=False, skip_blank_lines=True)

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### Installations to execute on every fresh run

!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

import pandas_datareader as pdr
import pandas as pd
from statsmodels.tsa.ar_model import AutoReg
from statsmodels.tools.eval_measures import rmse

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!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

from celluloid import Camera as Cam
from IPython.display import HTML, clear_output

import pandas_datareader as pdr
import pandas as pd
from statsmodels.tsa.ar_model import AutoReg

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!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

from celluloid import Camera as Cam
from IPython.display import HTML, clear_output

import pandas_datareader as pdr
import pandas as pd
from statsmodels.tsa.ar_model import AutoReg

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!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

from celluloid import Camera as Cam
from IPython.display import HTML, clear_output

import pandas_datareader as pdr
import pandas as pd
from statsmodels.tsa.ar_model import AutoReg

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!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

from celluloid import Camera as Cam
from IPython.display import HTML, clear_output

import pandas_datareader as pdr
import pandas as pd
from statsmodels.tsa.ar_model import AutoReg

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### Time Series Prediction Interval (Final Explanation) Stock Price Prediction Example

!pip install --upgrade pandas
!pip install --upgrade pandas-datareader
!pip install celluloid

from celluloid import Camera as Cam
from IPython.display import HTML, clear_output

import pandas_datareader as pdr

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import pandas as pd
import numpy as np
import seaborn as sb
import matplotlib.pyplot as plt
from matplotlib import rcParams
from cycler import cycler 


import matplotlib.pyplot as plt
import numpy as np

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from manim import *
from manim.utils.unit import Percent, Pixels
from colour import Color

config.frame_width = 24
config.frame_height = 13.5
config.pixel_height = 2160
config.pixel_width = 3840

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from manim import *
from manim.utils.unit import Percent, Pixels
from colour import Color

config.frame_width = 24
config.frame_height = 13.5

HIGH = True
if HIGH:
    print("Its high")