cardinality
There are 1 repository under cardinality topic.
- Language:Python 113
ascv / HyperLogLog
Fast HyperLogLog for Python.
Language:C 98wangyi-fudan / wyHLL
The dream accurate approximate set cardinality estimator based on 3-bit HyperLogLog. More accurate than Redis HyperLogLog.
Language:C 55LiveRamp / HyperMinHash-java
Union, intersection, and set cardinality in loglog space
Language:Java 52leandro / cardinality-br
Cardinal expression for numbers and currency values in pt-br (brazilian) language.
Language:Ruby 16pree-dew / metric-explorer
A tool to analyze your TSDB Cardinality stats, to stay one step ahead in knowing the system better
Language:Go 12shubs202k / Hyperspectral-Image-Classification-using-Deep-Learning
Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning
Language:Jupyter Notebook 9SleekPanther / bipartite-matching
Application of Ford-Fulkerson algorithm to find the maximum matching between 2 sides of a bipartite graph
Language:Java 9travisbrady / ccard
Fast Approximate Unique Word Counting (via LogLog-Beta) for the command line
Language:C 5- Language:Julia 4
google-research / privateFM
Code for differentially private Flajolet-Martin sketch.
Language:Python 4- Language:Go 3
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.
Language:Java 2l0vest0rm / 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
Language:Go 2last9 / blog-articles
All blog articles from https://last9.io/blog
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.
Language:Jupyter Notebook 1anthonysyk / 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.
Language:Go 1formulae-org / package-expression-js
Expression package for Fōrmulæ, in JavaScript
Language:JavaScript 1MatejaMaric / kafka-go-cardinality
Estimating cardinality for a data stream using Go and Apache Kafka
Language:Go 1MoinDalvs / Learn_EDA_House_Price_Dataset
Data Set: House Prices: Advanced Regression Techniques Exploratory Data Analysis on more than 80 features
Language:Jupyter Notebook 1plainas / cdi_cardinality
Get the carnality of each column on a CSV file
Language:Python 1- Language:Rust 1
asyakhl / EventsDatabase
PostgreSQL Database
Language:SQL 0dynatrace-research / ultraloglog-paper
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Language:Python 0ashishyadav24092000 / EDA_on_HousePrice
In this repository I have performed Exploratory data analysis on the dataset famously known as House Price Prediction.
Language:Jupyter NotebookCoder-Chitta / Machine-Learning-Hands-On-Association-Rules
Association Rules
Language:Jupyter Notebookjacquie0583 / 360degree-view-of-Sales-Statistics
Sales Interactive Dashboarding, Power BI, A 360 degree view of what's happening within your sales data: KPIs indicated in the top left corner, highest level sales total number Bar Chart that looks at sales by category (cell phones, electronics, hardware, and televisions) Geomap provides sales by location Line Graph provides sales by time, a data model which allows for interactive metrics with a click. Let's say, electronics and it will change all the other visualizations. This interactive element is very valuable and empowers others to start digging for their own answers to their own questions. Leveraging this tool allows for the building out of an organization's reporting infrastructure.
Pradnya1208 / Naive-Bayes
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
Language:Jupyter Notebook
