sherrykennedy Goto Github PK

big_data

Perform the ETL process. Use of AWS CLOUD. Upload a DataFrame to an RDS instance. The second goal will be to use PySpark or SQL to perform a statistical analysis of selected data.

bike_stations_usa

Created map of bike stations for NYC, USA

citi_bike_analysis

Aggregated the data found in the Citi Bike Trip History Logs, created Tableau visualizations and and analyzed the data.

credit_risk_evaluation_supervised_learning

Supervised Machine Learning to predict Credit Risk. Review of Logistic Regression and Random Forest Classifier with and without scaling.

earthquake_leaflet

Mapped weekly earthquake data through an API using Leaflet JavaScript Library. Visualized for the web.

etl-co2_vs_gas_prices

Quick Data Anlaysis of CO2 Emmissions vs Gas Prices. Explanation of ETL process. Contributors listed below.

globalazurebootcamp-2019

Global Azure Bootcamp 2019

mvaobjectorientedexercises

Lab solutions for the Object OrientedModules James and I used for Microsoft Virtual Academy

neural_network_charity_analysis_deep_learning

Create a binary classifier that is capable of predicting whether applicants will be successful if funded by a charity. This involved taking a deep dive into neural networks. Initially run on google-colab

pandas_school_analysis

All city schools data analysis. Type of school, resources, math and reading scores. Passing scores.

patchwork

All the Git-it Workshop completers!

pharmaceutical-analysis

Analysis of some Pharmaceutical regimens used on mice.

plotly_web_dashboard_biodiversity

Built an interactive dashboard to explore the Belly Button Biodiversity

python_financial_analysis_election_analysis

Two python data analysis; 1. Financial Analysis: profits/losses, greatest increase/decrease. 2. Election Analysis: Votes, candidates, percentages and winner.

repositorysummary

Repository Summary with descriptions.

sherrykennedy.github.io

This repository contains the course files for the Web Accessibility for Developers MOOC and eBook developed by The Chang School at Ryerson University. Participants should fork this repository, create a clone locally to work from, then fix the accessibility of each widget by applying the strategies outlined in the MOOC or ebook.

sql_challenge

Data Modelling and Engineering, using ERD diagrams, and sqlalchemy for an employee database.

sqlalchemy_challenge

Weather data analysis from Hawaii station. Created a flask-api to review temperature and rainfall for a specific period of time to vacation in Hawaii.

stroke_prediction_model

Flask app stroke prediction model

temp_nodejs_tut

vba-dataanalysis-stockmarket

Data analysis for multiple year stock market data. Uses excel and vba coding. Shows conditional formatting. Summary page.

weather_vs_nyse_analysis

Analysis of maximum temperature vs 23 New York City stock exchanges where the HQ is in NYC. Specifically looking at closing price and volume. Project by 2 people. 2nd person solely did stockweather.html

weathervacationanalysis_api

Weather vacation analysis utilizes the OpenWeatherMap API and the citipy library. Analyzes the weather relationship for cities using geo coordinates. Uses jupyter-gmaps and the Google Places API for weather based vacation references.

web-design-challenge

Visualization Dashboard for Weather Analysis. Coded for CHROME only.

web-scraping

Built a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page. Stores the data in a Mongo database.

webinar-chat-app

Code Mentoring Webinar - How to Build a Chat Web App

webinar-web-component

Example web component (Review with smiles)