salllym Goto Github PK

belly-button-biodiversity

Interactive Dashboard using Plot.ly (JavaScript)

charting_crowdfunding_campaign

Analyzed a database of 1,000 generated sample projects in Excel to uncover hidden trends

citi-bike-analytics

Analyzed Citibike dataset, looked for trends using Tableau Public and created a Tableau Story using findings.

citibike_leaflet

covid-19-visualization-dashboard

Created Covid dashboard for users to use and easily identify which areas to avoid for a summer vacation road trip across the US.

credit-card-fraud-dectection-analysis-ml-model

Analyzed a dataset of credit card fraud information using matplotlib and machine learning classification models to determine trends in fraudulent purchases.

deep-learning

Deep learning and neural networks were used to determine if Alphabet Soup, whom previously funded over 34,000 organizations, would successfully fund applicants

employee-database-analysis

Performed data modeling, data engineering, and data analysis

etl-paramount-shows-movies

Extract, transform, load data

etl-project-house-data

Extract, transform, load data

king_county_house_sales_analysis

leaflet-challenge

Web data visualization using leaflet, Javascript and D3 to visualize earthquake data from the United States Geological Survey (USGS).

pybank_pypoll_analysis

Python scripts to analyze financial records and voting records

pycityschool_analysis

Created and manipulated Pandas DataFrames to analyze school and standardized test data

pymaceuticals_analysis

Generated a summary statistics table, plots using both Pandas's DataFrame.plot() and Matplotlib's pyplot, and calculated the correlation coefficient and linear regression model

salllym.github.io

sqlalchemy-challenge

Using Python ORM Sqlalchemy to query Postgres database and analyze climate data, and using the application Flask to deliver local host query results to web browser

supervised-machine-learning

Created machine learning models to classify the risk level of given loans.

unsupervised-learning

Fit data to a model and use clustering algorithms to place data into groups

wall_street_stock_data_analysis

Used VBA script to analyze Wall Street Stock Data

weatherpy_analysis

Created a Python script to visualize the weather of 500+ cities of varying distance from the equator

web-design-challenge

Created a visualization dashboard website of weather in 500+ world cities relative to the equator at different latitudes using HTML, CSS, and Bootstrap

web-scraping-challenge

Built a web application that scrapes various websites for data and displays the information in a single HTML page