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First Tasks: Data Preprocessing and Cleaning #29

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First Tasks: Data Preprocessing and Cleaning #29

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akansha050
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  1. Imports Libraries:
    • pandas
    • numpy
    • sklearn
    • matplotlib
  2. Reads CSV File:
    • Loads 'HR-Employee-Attrition.csv' into a DataFrame.
  3. Displays Data:
    • Shows the first few and last few rows.
    • Outputs the shape of the DataFrame.
    • Describes the DataFrame statistics.
    • Lists the columns.
    • Displays unique value counts and null values.
  4. Data Cleaning:
    • Drops specific columns: 'Over18', 'EducationField', 'Department', 'Attrition', 'BusinessTravel', 'Gender'.
    • Checks for duplicates.
  5. Data Visualization:
    • Plots a scatter plot of 'Age' vs 'Attrition' using Matplotlib.

@akansha050
First Tasks: Data Preprocessing and Cleaning
f066f73 
1. Imports Libraries:
   - pandas
   - numpy
   - sklearn
   - matplotlib
2. Reads CSV File:
   - Loads 'HR-Employee-Attrition.csv' into a DataFrame.
3. Displays Data:
   - Shows the first few and last few rows.
   - Outputs the shape of the DataFrame.
   - Describes the DataFrame statistics.
   - Lists the columns.
   - Displays unique value counts and null values.
4. Data Cleaning:
   - Drops specific columns: 'Over18', 'EducationField', 'Department', 'Attrition', 'BusinessTravel', 'Gender'.
   - Checks for duplicates.
5. Data Visualization:
   - Plots a scatter plot of 'Age' vs 'Attrition' using Matplotlib.
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@akansha050