Simple, Elastic-quality search for Postgres

Extremely fast faceted search engine in JavaScript - lightweight, flexible, and simple to use

Control the quality of your labeled data with the Python tools you already know.

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

Data analytics helpers for Ecto and PostgreSQL

mongodb-pipeline-builder is a powerful TypeScript library that simplifies the creation of MongoDB aggregation pipelines. It provides a fluent, type-safe API that makes your aggregation pipelines more readable, maintainable, and less error-prone.

Course with udacity that cover SQL for data Scientists, this is my solution for the lessons and the project

👊 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.

Learn to answer questions with data using SQL

A Hands-On NumPy Tutorial for Data Scientists

[Software Development] Este é um repositório de um projeto acadêmico para prática dos fundamentos do paradigma orientado objeto (POO) com a linguagem de programação TypeScript. Utilizado em sala de aula para implementação dos conceitos estruturais, relacionais e organizacionais do POO.

Chat bots aggregator of different social networks

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/

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.

Elasticsearch Models for Rails with an ActiveRecord-like behavior

Official ParadeDB website

Blacked is a high-performance blacklist aggregator and query service built in Go.

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gonna build the Frontend

This repository executes tasks in a periodic sequence to precompute computationally intensive jobs within the scope of the explorer project

Notes from refreshing SQL knowledge

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

ParadeDB - Full-Text Search Support for Django

One place for tertiary students and workers to find affordable hostels/housing

A mock web application for dog adoption, this full-stack project was created as a practice exercise to deepen my understanding of specific technologies and concepts during my time at JLT coding bootcamp.

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Data exploration