How Do I Import a Custom Dataset Into Jupyter Notebook?

You can import your custom dataset into Jupyter Notebook using various methods, depending on the file format and your preferred library.

1. Using Pandas:

• For CSV files:

  import pandas as pd
  
  # Load the CSV file into a Pandas DataFrame
  data = pd.read_csv('your_dataset.csv') 
  
  # View the DataFrame
  print(data.head())

• For Excel files:

  import pandas as pd
  
  # Load the Excel file into a Pandas DataFrame
  data = pd.read_excel('your_dataset.xlsx')
  
  # View the DataFrame
  print(data.head())

2. Using NumPy:

• For text files:

  import numpy as np
  
  # Load the text file into a NumPy array
  data = np.loadtxt('your_dataset.txt', delimiter=',') 
  
  # View the array
  print(data)

3. Using Python's built-in functions:

• For text files:

  # Open the text file
  with open('your_dataset.txt', 'r') as file:
      # Read the file line by line
      data = file.readlines()
  
  # View the data
  print(data)

Remember to replace 'your_dataset.csv', 'your_dataset.xlsx', 'your_dataset.txt' with the actual path to your dataset file.