Pinned Repositories
API-Native
app-golang-project
Artificial-Intelegence
Belajar-Golang
Berita-Vector-Space-Model
Caesar-Kryptographie
Learn how to count Caesar Kryptographie with excel, php and c ++
CBC-Modification-and-CBC-Classical-Optimization
Native PHP, Bootstrap, Jquery
Clasification
Classification is a large domain in the field of statistics and machine learning. Generally, classification can be broken down into two areas: Binary classification, where we wish to group an outcome into one of two groups. Multi-class classification, where we wish to group an outcome into one of multiple (more than two) groups. In this post, the main focus will be on using a variety of classification algorithms across both of these domains, less emphasis will be placed on the theory behind them.
Classification-PYthon
Classification is a large domain in the field of statistics and machine learning. Generally, classification can be broken down into two areas: Binary classification, where we wish to group an outcome into one of two groups. Multi-class classification, where we wish to group an outcome into one of multiple (more than two) groups. In this post, the main focus will be on using a variety of classification algorithms across both of these domains, less emphasis will be placed on the theory behind them.
TF-IDF-PHP
merupakan metode untuk menghitung bobot setiap kata yang paling umum digunakan pada information retrieval.
GontangRagilPrakasa's Repositories
GontangRagilPrakasa/zendframework
Official Zend Framework repository
GontangRagilPrakasa/K-Means-Clustering
K-means clustering is one of the simplest and popular unsupervised machine learning algorithms. Typically, unsupervised algorithms make inferences from datasets using only input vectors without referring to known, or labelled, outcomes.
GontangRagilPrakasa/KNN-Python
KNN algorithm is one of the simplest classification algorithm and it is one of the most used learning algorithms
GontangRagilPrakasa/MD5-with-PHP
The MD5 message-digest algorithm is a widely used hash function producing a 128-bit hash value. Although MD5 was initially designed to be used as a cryptographic hash function, it has been found to suffer from extensive vulnerabilities. It can still be used as a checksum to verify data integrity, but only against unintentional corruption. It remains suitable for other non-cryptographic purposes, for example for determining the partition for a particular key in a partitioned database.[3]
GontangRagilPrakasa/Clasification
Classification is a large domain in the field of statistics and machine learning. Generally, classification can be broken down into two areas: Binary classification, where we wish to group an outcome into one of two groups. Multi-class classification, where we wish to group an outcome into one of multiple (more than two) groups. In this post, the main focus will be on using a variety of classification algorithms across both of these domains, less emphasis will be placed on the theory behind them.
GontangRagilPrakasa/Classification-PYthon
Classification is a large domain in the field of statistics and machine learning. Generally, classification can be broken down into two areas: Binary classification, where we wish to group an outcome into one of two groups. Multi-class classification, where we wish to group an outcome into one of multiple (more than two) groups. In this post, the main focus will be on using a variety of classification algorithms across both of these domains, less emphasis will be placed on the theory behind them.
GontangRagilPrakasa/Naive-Bayes-Python
Naive Bayes has been studied extensively since the 1960s. It was introduced (though not under that name) into the text retrieval community in the early 1960s,[1] and remains a popular (baseline) method for text categorization, the problem of judging documents as belonging to one category or the other (such as spam or legitimate, sports or politics, etc.) with word frequencies as the features. With appropriate pre-processing, it is competitive in this domain with more advanced methods including support vector machines.[2] It also finds application in automatic medical diagnosis.[3]
GontangRagilPrakasa/Rules-And-Condition
GontangRagilPrakasa/Artificial-Intelegence
GontangRagilPrakasa/Regression-Analysis
regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed.
GontangRagilPrakasa/Caesar-Kryptographie
Learn how to count Caesar Kryptographie with excel, php and c ++
GontangRagilPrakasa/DasarDasarPython
Belajar Dasar Dasar Python,
GontangRagilPrakasa/TF-IDF-PHP
merupakan metode untuk menghitung bobot setiap kata yang paling umum digunakan pada information retrieval.