1,603 skills found · Page 30 of 54
ikelaiah / Stringkit FpComprehensive string manipulation library providing 60+ static methods for validation, case conversion, pattern matching, fuzzy algorithms, phonetic matching, text analysis, and web encoding. Zero external dependencies - uses only Free Pascal RTL.
rochus-keller / MusicToolsTools for live Midi logging, scale analysis and algorithmic composition
Vipin-Singh-Negi / Identify Phishing MailThis research project throws light on important features to look for while detecting phishing mail and also presents a comparative analysis of various algorithms to identify phishing mail by using mail features and URL features.
engripaye / Dsa In Python📃 My Personal Data Structures & Algorithm Problems & Solutions Analysis in Python
huaihuaiweng / FPCAFederated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique is realized with the assistance of an optimization algorithm ADMM.
Shankhadeep2000 / Indian Automotive Industry AnalysisThis is a data analysis project with price prediction with Random Forest Algorithm of cars in Indian market and also consist of customer segmentation with the help of Clustering analysis with KNN algorithm
SleekPanther / Breadth First Search Depth First Search GraphsBreadth First Search & Depth First Search graph algorithms
JavierAlbert / StatArbCryptoStatistical Arbitrage & Algorithmic Trading: time series analysis and the presence of cointegration in cryptocurrency price series.
fatihsen20 / Frequent Mining Algorithms"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.
RonnieSosan / DataCleanerThis repository is used to clean data and test algorithms and techniques for data analysis and processing project. This contains predictive analysis on sports data.
smaranjitghose / DAAStudy material and assignments related to Design and Analysis of Algorithms course taught by Professor Smaranjit Ghose
octcarp-courses / SUSTech CS208 Algorithm S23 Works(1120/1100) Labs of CS208 2023 Spring: Algorithm Design and Analysis (ADA), SUSTech. Taught by Prof. Yuhui SHI.
philip-ndikum / TemporalScopeTemporalScope: Scientifically driven Model-Agnostic Temporal Feature Importance Analysis with SHAP & partitioning algorithms (supporting Pandas, Polars, Modin, PyArrow, Dask).
aliasgharheidaricom / Parrot Optimizer Algorithm And Applications To Medical ProblemsThe source codes of Parrot optimizer are also publicly available at https://aliasgharheidari.com/PO.html, This study presents the analysis and principle of an effective algorithm to optimize different problems.
fema-ffrd / OverflowA high-performance Python library for hydrological terrain analysis that specializes in processing massive Digital Elevation Models (DEMs) through parallel, tiled algorithms.
Shurun-Wang / R2CMSEAn improved multiscale sample entropy algorithm to extract signal features: "Analysis of fatigue in the biceps brachii by using rapid refined composite multiscale sample entropy"
ManjinderSingh3 / Used Cars Price Evaluation ModelDeveloped a price prediction model using Random Forest Regression algorithm. Different graphs were created as a part of Exploratory Data Analysis. Feature Engineering was performed to make the data ready for building the model.Built an interactive dashboard using dash and plotly libraries
Laurier-Fintech / OpenFintechOpenFintech is a financial analysis library designed for Python developers and financial analysts. It provides powerful tools for conducting both trend following and mean reversion analyses, utilizing financial market data. This project aims to make complex financial algorithms accessible and easy to use.
rg4sun / RG DCTImplementation and Performance Analysis of DCT Steganography Algorithm. Tests found that it has excellent imperceptibility (PSNR all above 40). When encountering noised images, the error rate of watermark extraction is low, indicating certain robustness. By introducing the scaling factor, the best embedding effect can be obtained for the specific carrier and watermark.
jatin24 / Optimization Of Kmeans AlgorithmK-Means is a clustering algorithm which is used for cluster analysis in data mining; it partitions the data set into k clusters. In this project, K-Means algorithm is optimized using PSO (Parm Swarm Optimization)in terms of time. PSO simulates the social behavior of birds and helps to improve candidate solution iteratively. This project is made in python and has been tested on some standard data sets.
