Coursera Capstone Project for Applied Data Science

Repository name: Coursera_Capstone

It's for Coursera capstone project. Here you will find my own steps to show how I finish my project. In this project, I will not only use different common data science Python packages (e.g. NumPy, SciPy, Pandas, Scikit-learn, etc.) to handle my dataset, but also show you step-by-step how to tidy up your raw datasets from different sources into one neatly-arranged dataframe.

All source codes written here are in Jupyter notebook.

Here are the Python3 packages you may want to know more:

Data-handling packages:

• Pandas
• NumPy
• SciPy

Machine-learning packages:

• SciPy
• Scikit-learn

Visualization packages:

• seaborn
• matplotlib
• folium

Web-scraping packages:

• requests
• beautifulsoup4
• json

Projects included here:

1. Greeting
2. Segmentation and Clustering of Neighbourhoods in Toronto, Canada (This LINK shows interactive elements.)
3. New York's Borough Investigation
4. Results data for New York's Borough Investigation