ELKI Data Mining Toolkit

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

TSrepr: R package for time series representations

Programs of BE Computer Engineering 2012 Pattern

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Data Mining Algorithms with C# using LINQ

A Python implementation of Naive Bayes from scratch.

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

鼠标轨迹识别

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Various data mining algorithms implemented with sklearn and tensorflow.

The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

Implementation of Influence Maximisation on a graph dataset.

GSP (Generalized Sequence Pattern) algorithm in Python

Data mining with Go.

A Java program to cluster a dataset in CSV format using k-means clustering

Machine Learning Algorithms Python [In Active Development]

FPGrowth Algorithm implementation in TypeScript / JavaScript.

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Some collection of codes that are used in data mining and data science related fields, developed by me

A data-mining project to realize the power of Data in how we perceive music around us.

Description: To Determine the success rate of a movie based using multiple classifiers

PDF-Parser and Apriori and Simplical Complex algorithm implementations

Mining Million Song Dataset

An idiomatic kotlin dataframe toolkit for data engineering tasks of any size dataset

Results sharing for SimPath algorithm for Influence Maximization

Text Mining code using TF-IDF algorithm for finding keywords and Apriori algorithm to produce association rules