DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.

We are analyzing how different factors affect students' overall academic performance as measured by the performance index. Correlation Analysis, Predictive Modeling, Statistical Analysis and Visualization.

🔗 Methods for Correlation Analysis

This project analyzes a health monitoring dataset to explore relationships between various health metrics, including age, gender, heart rate, blood pressure, respiratory rate, body temperature, activity level, oxygen saturation, sleep quality, stress level, and timestamps.

Pymaceuticals Data Analysis and Visualization

Movie Recommendation System based on the Spearman's rank correlation 🎞️

The proposed algorithm is successful in elimination of 108 rows from Pima Diabetes Dataset by skewness range of Normal distribution curve. To check the efficacy of the algorithm, it is compared with four techniques- Local Outlier Factor, Mahalanobis Distance, Multivariate Normal Distribution (N Dimensional) and DBSCAN.

Methods for variable association

A simple Data Analysis Suite

Hesitancy data from CDC was explored for correlational relationships to US Census Bureau Covid19 impact data, and 2020 election data.

Analisis factorial de enunciados relacionados al dolor percibido con el objetivo de encontrar relaciones entre las creencias de las causas del dolor.

Se realiza un análisis estadístico descriptivo de datos obtenidos en 3 viñedos diferentes con el objetivo de encontrar diferencias y relaciones entre las variables medidas, para concluir las características del vino de cada viñedo.

Data Science Assignment : Digitals Skill Fair 25.0 - Dibimbing.ID

Correlations Study Project

Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.

scRNA-Explorer pipeline allows users to interrogate in an interactive manner scRNA-sequencing data sets to explore via gene expression correlations possible function(s) of a gene of interest

This is a group project in a programming course where we used Python to visualise data in order to examine any possible relations between bike usage and population distribution in Helsinki and Espoo.

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

An unfinished C++ backend application to correlate company stock prices & balance sheet data with that company's commodity(s) prices.

This dataset was derived from Kaggles MoviesOnStreamingServices dataset. I utilized Exploratory Analysis, Sentiment Analysis, Topic Modeling, and visualizations to conduct my research.