yawavi92

-Climate_Analysis

Airbnb-Data-Analysis

The purpose of this project was to tell a story of Airbnb accommodations using data visualizations. Here, we propose to use visualizations to graphically display different filters based on price points, cities, and room types. In addition, we propose to use both plotly heatmap and cluster graphing strategies to display bookings that may differ by price points, cities, and room type.

api-oo

citiBike

city_bike

Using Python and Tableau to visualize CitiBike data downloaded from NYC CitiBike System. The data history analyzed covers the period from January 2019 to December 2019.

Credit_Risk

Using supervised machine learning to predict whether a customer's default risk is low or high to help the bank choose a creditworthy customer.

data-_modeling

Data modeling / tables / keys & constraints / string manipulation / subquery / window function / set operator

earthquake_visualization

Visualizing earthquake history data downloaded from United States Geological Survey. This utilized JavaScript, Leaflet, CSS and HTML.

ML-Housing_price_predection

Housing price prediction using Supervised machine learning model in order to help people living in Melbourne price their future house.

portfolio

This is my project portfolio.

yawavi92/Bank_and_poll

yawavi92/Drug_regimens

yawavi92/Game_school

yawavi92/Machine-learning-templates

yawavi92/pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

yawavi92/seaborn

This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series

yawavi92/web-scraping-with-python-2848331

Web Scraping with Python