This repository is filled with a collection of projects I had the opportunity to work on during my time in completing the Data Scientist and Machine Learning Certifications in Python at DataCamp. Each project explores a unique topic and showcases a variety of skills: From essential basics of NumPy and Pandas, to supervised and unsupervised learning algorithms, these projects have helped me grow my skills to becoming a confident data scientist.
Every project is written as a Jupyter Notebook. In order to render these notebooks, we can use nbviewer, a simple way to share Jupyter Notebooks. Or we could hope that GitHub can render these static HTML files to their front-end glory!
Sometimes, GitHub can render the static HTML file into a lovely Jupyter notebook, but if that isn't the case, you can try the following:
- Please head to this link, which connects nbviewer with my GitHub account!
- Select a project, in this case, a directory, you want to explore!
- Click on the file ending in .ipynb, to open a Jupyter Notebook in Python
That's it! Enjoy exploring my repository and I hope you learn a thing or two!