go/golang version of hyperloglog, ported from popular java version java-hll. hyperloglog is an Cardinality estimate algorithm with low memory and low bias
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Updated
Dec 23, 2016 - Go
go/golang version of hyperloglog, ported from popular java version java-hll. hyperloglog is an Cardinality estimate algorithm with low memory and low bias
Application of Ford-Fulkerson algorithm to find the maximum matching between 2 sides of a bipartite graph
Multiobjective Discrete Optimization Framework in Julia
Get the carnality of each column on a CSV file
Probabilistic Data Structures and Algorithms in Python
Fast Approximate Unique Word Counting (via LogLog-Beta) for the command line
Cardinal expression for numbers and currency values in pt-br (brazilian) language.
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 …
Code for differentially private Flajolet-Martin sketch.
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.
The dream accurate approximate set cardinality estimator based on 3-bit HyperLogLog. More accurate than Redis HyperLogLog.
Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning
Discrete mathematics is the study of discontinuous quantities, and associated algorithms.
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
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 …
In this repository I have performed Exploratory data analysis on the dataset famously known as House Price Prediction.
Data Set: House Prices: Advanced Regression Techniques Exploratory Data Analysis on more than 80 features
Estimating cardinality for a data stream using Go and Apache Kafka
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