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Course Project : Person-gender-weight-height

Description about Project:

The dataset basically contains the weights(kg) and heights(cm) of 500 people.

I got this dataset from https://www.kaggle.com/ajayannamaneni/500-persons-gender-height-weight-indexacsv

I will be adding new columns to dataset and perform graphical representations to the dataset.

The basic libraries used are Numpy, Pandas, Matplotlib, Seaborn

I have learnt how to use libraries like Numpy to perform numerical caluculations, pandas to create a dataframe and perform changed to data frame, Matplotlib and seaborn to perform visualization to the data in datasets from the course offered by jovian and freecodecamp.

project_name = "zerotopandas-course-project-final" 
!pip install jovian --upgrade -q
import jovian
jovian.commit(project=project_name)
[jovian] Attempting to save notebook.. [jovian] Updating notebook "ajayannamaneni20/zerotopandas-course-project-final" on https://jovian.ml/ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ml/ajayannamaneni20/zerotopandas-course-project-final