rjbarker Goto Github PK

belly-button-challenge

Develop an Interactive Dashboard using JavaScript and the Plotly/D3 libraries. Initialize the dashboard with visuals which can be updated when a user changes the Sample ID DropDown menu

citi_bike_tableau

Create a tableau story/dashboard showcasing visualizations and insights into the NYC Citi Bike service. Write analysis to support the visuals, and present them in a professional and visually appealing format.

credit-risk-classification

Create a Logistic Regression model to predict the credit risk of customers to a lending company. Use historical data and train the model before making predictions of test data. Lastly write an analysis report on the models created.

crowdfunding_etl

Group ETL project. Extract data from supplied Excel files, transform/clean the data using Python Pandas library and export the cleaned data to CSV files. Finally generate an ERD and SQL Schema for a new database to store the extracted data

cryptoclustering

Use scikit-learn and the KMeans clustering algorithm to analyse a Crypto currency dataset

data_visual-challenge

Generate various plots and statistics to develop analysis on fictional data regarding the testing of new drugs.

deep-learning-challenge

Create a neural network through TensorFlow and Keras to build a model which has the ability to assess an organisation's ability to be successful with funding from the Alphabet Soup charity

excel-challenge

Using Crowdfunding data, add additional columns, conditional formatting and pivot tables/charts to identify trends and insights into what creates a successful project.

github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

home_sales

Use PySpark and SparkSQL to execute SQL queries through a temporary view of the DataFrame created. Conduct additional queries on cached and partitioned data to determine runtime comparisons.

leaflet-challenge

Using a live Dataset from USGS, create a Leaflet Map Visualization of the Global earthquakes. Markers represent the magnitude and depth at which they occurred

nosql-challenge

Create a NoSQL database with MongoDB. Import the documents into a new collection, perform update and delete tasks on various records to complete the database. Finally conduct exploratory analysis on the database

pandas-challenge

project_1

Bootcamp: Project 1

python-api-challenge

Interact with API's to gather current weather conditions for global random cities. Use the gathered Weather data to determine vacation opportunities by identifying the nearest hotel.

python-challenge

rjbarker

Config files for my GitHub profile.

sql-challenge

Create ERD, SQL Database and Tables, Import data and create SQL queries to produce specific lists from the data and various tables.

sqlalchemy-challenge

Using the ORM SQLAlchemy, connect to a SQLite database to retrieve data, perform climate analysis and design a Flask API based on the queries developed within the analysis

vba-challenge

Create a VBA script which iterates through stock market tickers and delivers a summary for each. Repeat the process for all years (each worksheet) within the same code.

web-scraping-challenge

Using the BeautifulSoup module, extract data from a Mars News website and a table containing weather information for Mars. Create Python objects with the data and Pandas DataFrame to analyze and visualize the extracted data