Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.

This repository contains data and functions related to computational epigenomics data analysis.

XQuery query processing optimization based on XML projection

데이터 스터디

Detailed data wrangling notes and code encompassing a variety of projects.

Simple tool to process data on the fly with JavaScript

The Diabetes Prediction System is a web application that enables users to predict diabetes likelihood based on medical data. Key features include user registration, dataset uploading and cleaning, model training using logistic regression, and individual risk prediction.

We provide Auto Data Preprocessing for anyone

Data processing, PageFreezer integration, and (eventually) diff filtering and processing

Here you will learn Machine Learning from the start. We have code all the concepts in both python and R.

Data Imputer API in Python

Web app for processing, uploading, and downloading matrices using FastAPI. Users can upload CSV files, manually input data, and download pre-set matrices. Includes analysis of matrix properties like functionality, injectivity, and surjectivity, with support for matrix combinations and transpose calculations. Built with FastAPI and Jinja2.

A tool to identify users who do not follow back on Instagram