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Exercises to help improve SQL skills
json-aggregate is a javascript utility to perform aggregations on JSON-formatted data.
JS/Typescript DSL for Elasticsearch
Alternative ActiveRecord composition
mongodb-pipeline-builder is a pipeline builder for the db.collection.aggregate method and db.aggregate method. It will simplify pipelines by making them more readable and much easier to edit. It also allows you to test your pipelines on a dataset in order to verify them. Pipeline stages appear in an array. Documents pass through the stages in sequence.
👊 0-downtime elasticsearch reindex functional utility. Automatically detect ES mapping modification and reindex modified records. Use namespaces in your indexes. Create aggregated filtering for shops.
Course with udacity that cover SQL for data Scientists, this is my solution for the lessons and the project
Chat bots aggregator of different social networks
Learn to answer questions with data using SQL
This repository contains all the source codes of consensual aggregation methods implemented in R programming. The explanations of each function and algorithm are available in my webpage: https://hassothea.github.io/publications/
gonna build the Frontend
A Hands-On NumPy Tutorial for Data Scientists
The Date of the observation AveragePrice - the average price of a single avocado type - conventional or organic year - the year Region - the city or region of the observation Total Volume - Total number of avocados sold 4046 - Total number of avocados with PLU 4046 sold 4225 - Total number of avocados with PLU 4225 sold 4770 - Total number of avocados with PLU 4770 sold Acknowledgements Many thanks to the Hass Avocado Board for sharing this data
Tariff is a list of expenses that incur while transporting the goods from one distance to another distance. Tariff is also dependent on seasonal and non-seasonal factors also. This project is aimed at predicting the tariff ratesfor truck load by using the different machine learning algorithms like lasso regression, elastic net regression, ridge regression and linear regression. Tariffisa combination of lot ofthings and tariff rate is dependent on some ofthe factorslikeYear, Road, SeasonalImpact, Fuel Cost,Distance, Weight, Toll charge, Demand, labour cost, travel expenses etc. Using some ofthese factors and by employing the above-mentioned machine learning regression algorithms we will be trying to predict the tariff rates on the trucks. By doing this we can help the industriesto estimate the tariffratesso that they can take the necessary actions and they can make their business run inprofitable way. This model helps small- and large-scale firms to control and manage the cost on transport.
This fullstack project encompasses a server-side and client-side architecture, delivering a feature-rich website for adopting dogs that includes secure authentication.
Notes from refreshing SQL knowledge
This repository executes tasks in a periodic sequence to precompute computationally intensive jobs within the scope of the explorer project
Experience a server-side project built on NodeJS, Express, and MongoDB, focused on a cooking recipes site and incorporating secure authentication.
Notebooks of personal projects.
This is sample using Elasticsearch Aggregations with API Server and Vue 2.
Nest.js API - rest CRUD, MongoDB, Typescript, Docker,
SQL Project
Elasticsearch Models for Rails with an ActiveRecord-like behavior
This project is a data analysis that made use of NumPy to analyze dataset from MySQL workbench 8.0
23º projeto do curso de Desenvolvimento Web da Trybe: Operações que agrupam valores de múltiplas coleções ou documentos, usando Aggregation Framework
This project is a demo about using Elasticsearch with Nodejs for aggregation filter restaurants.
Trybe - Projeto realizado no final do bloco 25 do curso.
Workbook and code examples and templates for Compass aggregation experience workshop at MongoDB World 2022.
Exercises to help improve PostgreSQL skills