cardinality

ascv/HyperLogLog

Fast HyperLogLog for Python.

LiveRamp/HyperMinHash-java

Union, intersection, and set cardinality in loglog space

wangyi-fudan/wyHLL

The dream accurate approximate set cardinality estimator based on 3-bit HyperLogLog. More accurate than Redis HyperLogLog.

leandro/cardinality-br

Cardinal expression for numbers and currency values in pt-br (brazilian) language.

pree-dew/metric-explorer

A tool to analyze your TSDB Cardinality stats, to stay one step ahead in knowing the system better

SleekPanther/bipartite-matching

Application of Ford-Fulkerson algorithm to find the maximum matching between 2 sides of a bipartite graph

shubs202k/Hyperspectral-Image-Classification-using-Deep-Learning

Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning

dynatrace-research/ultraloglog-paper

UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting

google-research/privateFM

Code for differentially private Flajolet-Martin sketch.

travisbrady/ccard

Fast Approximate Unique Word Counting (via LogLog-Beta) for the command line

aritrasep/Modof.jl

Multiobjective Discrete Optimization Framework in Julia

paulfantom/eagle

Slowly kills prometheus server. Byte by byte.

sundy-li/simple_hll

A simple HyperLogLog implementation in rust

zkxs/cuniq

Command line tool that counts unique lines FAST.

iiithf/discrete-mathematics-and-algorithms

Discrete mathematics is the study of discontinuous quantities, and associated algorithms.

itrummer/ExactCardinalityQueryOptimization

This repository contains tools for finding query plans that produce the least number of join result tuples (the so-called "Cout" metric). Those tools are not suitable for query optimization at run time - instead, they can be used for offline analysis to assess the quality of query optimizers.

l0vest0rm/hll

go/golang version of hyperloglog, ported from popular java version java-hll. hyperloglog is an Cardinality estimate algorithm with low memory and low bias

last9/blog-articles

All blog articles from https://last9.io/blog

Pradnya1208/Naive-Bayes

This project aims to understand and build Naive Bayes classifier to predict the salary of a person.

prathamesh-sonpatki/prometheus-workshop

Prometheus Workshop

siddharthchatterjee9/Self_Notes_DBMS_ERD_Crow

Pertaining to the utter confusion between notations used in Entity-Relationship modeling concepts and especially the degree v/s cardinality question, I have compiled my notes on most of the concepts used in ERD from authentic and reasonable sources which do not contradict each other. I did this because there are misconceptions over the internet for simple definitions which make it cumbersome to understand. There are innumerable errors both in the teacher's slides as well as articles over Internet in defining terms and not keeping the exact semantics of it while defining subsequent terms. Hope this will do justice to those who are behind the true meaning of everything in between! Also through discovery, I noticed the Crow's notation which makes things really simple to understand. Thanks to Coursera and Patrycja Dybka! Copyrights and licensing reserved

Allan34Kirwa/Predicting-Apartment-Prices-in-Mexico-City-MX

This repo implements a machine learning model to predict real estate prices in Mexico City. It preprocesses data, incorporates one-hot encoding, imputation, and Ridge regression, achieving accurate price approximations.

anthonysyk/go-cardinality

go-cardinality is a Go library that calculates the cardinality and distinct count of values in a dataset, providing efficient and accurate estimations.

Coder-Chitta/Machine-Learning-Hands-On-Association-Rules

Association Rules

danielstankw/Grafana-metrics-scraper

Reduce the cardinality of your metrics! - scrape all the metrics from Grafana dashboard and make informed decision.

formulae-org/package-expression-js

Expression package for Fōrmulæ, in JavaScript

MatejaMaric/kafka-go-cardinality

Estimating cardinality for a data stream using Go and Apache Kafka

MoinDalvs/Learn_EDA_House_Price_Dataset

Data Set: House Prices: Advanced Regression Techniques Exploratory Data Analysis on more than 80 features

plainas/cdi_cardinality

Get the carnality of each column on a CSV file

Thomas-Nyanumba/Atlanta-PD-Power-BI-Group-Project

A Power BI group (AEM9) project under the Analytics Extra Mentorship Program

alexhholmes/inbloom

Rust implementation of a probabilistic multiset cardinality algorithm

asyakhl/EventsDatabase

PostgreSQL Database

FadilAdz/Kardinalitas

Praktikum Pertemuan Ke 11 Pemrograman Orientasi Objek.

niravkapoor/Count-Min-Sketch

ashishyadav24092000/EDA_on_HousePrice

In this repository I have performed Exploratory data analysis on the dataset famously known as House Price Prediction.