Mike's repositories
action
a GitHub action to run `pre-commit`
dataset-examples
Samples for users of the Yelp Academic Dataset
geolocation-google-maps-vue
The source code behind the "Adding Geolocation and Google Maps to Vue Applications" video
gitignore
A collection of useful .gitignore templates
hospitalrun-server
Backend for HospitalRun
material-components
Documentation and policies for Material Components (all platforms)
material-components-web
Modular and customizable Material Design UI components for the web
material-components-web-codelabs
Codelabs for Material Components for Web (MDC Web)
material-starter-kit
A file template to help you get started with Material Components for the Web
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
Project-Yelp-Dataset
Part 1 - Download the Yelp dataset from Camino. Look at each JSON file and understand what information the JSON objects provide. Pay attention to the data items in JSON objects that you will need for your application (For example, categories,attributes,...etc.) - You may have to modify your database design from Homework 2 to model the database for the described application scenario on page-1. Your database schema doesn’t necessarily need to include all the data items provided in the JSON files. Your schema should be precise but yet complete. It should be designed in sucha way that all queries/data retrievals on/from the database run efficiently and effectively. - Produce DDL SQL statements for creating the corresponding tables in a relational DBMS. Note the constraints, including key constraints, referential integrity constraints, not NULL constraints, etc. needed for the relational schema to capture and enforce the semantics of your ER design. - Populate your database with the Yelp data. Generate INSERT statements for your tables and run those to insert data into your DB. II. Part 2 Implement the application for searching local businesses as explained in section “Overview & Requirements”. In this milestone you would: - Write the SQL queries to search your database. - Establish connectivity with the DBMS. - Embed/execute queries in/from the code. Retrieve query results and parse the returned results to generate the output that will be displayed on the GUI. - Implement a GUI where the user can, o browse through main and sub-categories for the businesses; select the business categories that user wants to search for; (note: The list of the main categories is given in Appendix-C. All other categories that appear in the business objects are sub-categories. Such a distinction is made for easier browsing of the business categories.) o browse through theattributes of theselected categories ;specify the attributes she/he is interested in; o search for the businesses that belong to the main and sub-categories that user specifies and have the attributes that user selects, (The user should be able to search for the businesses that have either all the attributes (AND condition) or that have any of the attributes specified (ORcondition)) o filteroutthesearchresultsforaspecificstate,city,orzipcode, o filteroutthebusinesseswhichareopenorclosedonspecificdaysoftheweek, o selectacertainbusinessinthesearchresultsandlistallthereviewsforthatbusiness.(note:The review list should also include the names of the users who provided thosereviews)
starter-workflows
Accelerating new GitHub Actions workflows
tanner
He who flays the hide
tanner-abraham
TANNER is a remote data analysis and classification service to evaluate HTTP requests and composing the response then served by SNARE. TANNER uses multiple application vulnerability type emulation techniques when providing responses for SNARE. In addition, TANNER provides Dorks for SNARE powering its luring capabilities.
telegram-support-bot
A Telegram ticketing/supporting system.
video-populating-google-map-vue-laravel
The source code for the app shown in my Populating a Google Map with Vue and Laravel video
Yelp-Data-Analysis
Analysis on a Yelp Dataset using SQL
YelpDatasetSQL
Working with the Yelp Dataset in Azure SQL and SQL Server
Zomato_dummy_database_design
Zomato dummy database design - Designed and Build a dummy database for Zomato for multiple tables and retrieve information from it to get the answers to the question regarding the users and delivery guy. Here I used MySQL to design and writing the queries for getting answers. Designed schema and ER diagram.