yawavi92 Goto Github PK

-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

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bank_and_poll

belly_button_biodiversity_dashboard

big-data

charity_funding_predictor

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.

cryptocurrencies_unsupervised_machine_learning

Clustering cryptocurrency using unsupervised machine learning on purpose to help news crypto investor.

data-_modeling

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

drug_regimens

earthquake_visualization

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

employee_sql

Designing the tables to hold data in the CSVs, import the CSVs into a SQL database. Set primary and foreign keys for tables and retrieving employees information on purpose to help the HR.

etl_project

game_school

getting-funded

Analyzing a database of 4,000 past projects submitted for crowdfunding in order to uncover any hidden trends. The trends can organizations made it through the funding process with positive outcome. Excel was used for this project

learn-databases

machine-learning-templates

machine_learning_titanic

The project was about to predict survival or death on the Titanic boat with supervised model. The dataset was unbalanced and the there were some outliers. but some python codes had help address those issues.

mars_scapring

ml-housing_price_predection

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

pandas-videos

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

portfolio

This is my project portfolio.

project-1-earthquake-analysis-1

python-engineer-notebooks

python_automation

pythonoop

The Original Code repository for my Python OOP Series