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Updated 3 years ago
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