SO IN THIS POST I AM GOING TO EXPLAIN FOLLOWING POINTS :

  1. WHAT IS TIME SERIES FORECASTING ?
  2. WHAT IS DIFFERENCE BETWEEN NORMAL ML PROBLEM AND TIME SERIES PROBLEM.
  3. APPROCH TO SOLVE…

  1. this is cat.
  2. the cat is fat.
  3. i need car

now if i tell you to find similar sentance. you can easily find it by looking at it.


STEP 1 : Prepare Problem OR Understand the problem statement



!pip install kora -q
from kora.selenium import wdwd.get("enter any website here")
import bs4 as soup
wd.get("enter any website here")
html = soup.BeautifulSoup(wd.page_source)


so in this post, I am going to explain the different ways to load the dataset into google colab.

  1. fetching the data from Github.
  2. using google drive
  3. download the data into colab
  4. upload the data into colab

1 fetching the data from GitHub

  1. CSV files
  2. zip files

step 1 install anaconda.

step 2 open anaconda prompt


conda install git

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