My self-practice Jupyter notebooks which reproduce the results from Datacamp Data Science lectures.
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Updated
Nov 18, 2022 - Jupyter Notebook
My self-practice Jupyter notebooks which reproduce the results from Datacamp Data Science lectures.
Documenting my progress through courses and projects on DataCamp via jupyter notebooks.
Example to join jupyter Notebook with github
Python projects from Datacamp, includes Jupyter notebooks and datasets
My DataCamp Project Notebooks
Notebook of DataCamp Projects
This is a project experimenting with SQL queries in order to answer interesting questions about international debt using data from The World Bank.
Contains notebooks of projects carried out on the DataCamp platform
This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
GitHub repository containing a Jupyter notebook for a DataCamp guided project on analyzing Netflix movie durations from 2011 to 2020, covering data loading, visualization, DataFrame creation, and exploratory data analysis.
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