Repositório para aula de comandos sql com github. Desenvolvida em Oracle SQL Developer

3 exercícios para a fixação do conceito sobre comandos aprofundados DQL (Data Query Language) na linguagem SQL.

Creating a simple College Database using SQL.

This repository contains code to train and test policies for a MPE environment (Simple Spread). Training is done using DQL for independent learning. Testing was done using 3 different policies: RL, Simple Policy, Complex Policy.

Structured Query Language

Desenvolvi esse código como uma forma de provar que aprendi os conceitos passados e que posso evoluir para o 3o módulo do SQL Nanodegree Program

Reinforcement Learning (COMP 579) Course Project

Prática de recursos avançados do PostgreSQL, incluindo PL/pgSQL, triggers, procedures e técnicas de consulta.

SQL_PRACTICE_QUESTIONS | NOTES. 📝 | APNA COLLAGE | SMITH INSTITUTE | FUSSION INSTITUTE | 📚 THIS REPOSITORY DOCUMENTS MY JOURNEY OF LEARNING MYSQL, ONE OF THE MOST POPULAR RELATIONAL DATABASE MANAGEMENT SYSTEMS. 🗄️

Resolução do desafio com comandos DQL em SQL Server para um banco de dados de Filmes.

Assignment for UCB Extension's EL ENG X401.9 (Managing Database Using SQL).

Reinforcement Learning-powered compiler autotuning system that learns optimal flag configurations for performance improvement across PolyBench benchmarks. Includes training, evaluation, and visualization tools.

Content: DQL, Select statement, Where clause, Single and multi-line comment, Operators =,<=,>=,<>, and or operators, between clause, limit clause, orderby clause, Order of execution for the clauses, IN, NOT IN operators.

Repo for the INSY Assignment "Übungen DQL"

This project explores Reinforcement Learning on FrozenLake using two approaches: Tabular Q-Learning and Deep Q-Learning with neural networks. It compares classical vs deep RL, includes training, validation, and visualizations, and highlights reward shaping, exploration-exploitation trade-offs, and model performance.

Projeto com dados reais anonimizados, explorando consultas SQL, análises temporais e criação de features para entender padrões de comportamento de clientes.

These Projects have SQL real-world data analysis with Netflix and Zomato datasets.Worked with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyzed popular content, cuisine preferences, revenue metrics, and operational performance.

This project focuses on performing sales and operations analysis on a simulated Zomato database using SQL. The dataset includes information on customers, restaurants, orders, employees, food items, and ratings.

A SQL-based relational database system for managing car dealership operations, including customers, inventory, sales, services, and payments.

Otter is a smart proxy and query transpiler for Dgraph. It balances traffic across clusters and adds experimental support for Cypher and other graph query languages.