The Jupyter Notebook Programming language IDE submodule for SNU Programming Tools (2D Mode)

Quantity Takeoff with Jupyter Notebook

A repository for showcasing my knowledge of the JupyterNotebook programming language, and continuing to learn the language.

🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:JupyterNotebook category for AI2001, containing JupyterNotebook programming language datasets

Welcome to the Calculator Project, a fun and interactive way to perform mathematical calculations using Jupyter Notebook and Python ! This project is designed to provide a user-friendly interface for basic arithmetic operations, making math easy and accessible

An interactive tool for fitting Butler-Volmer equations to potentiodynamic scan data in Jupyter Notebook. Provides corrosion parameters and user-friendly plotting with features like IR compensation and axis switching. Requires Python 3.8 (Anaconda).

This project utilizes machine learning algorithms to predict the likelihood of a patient having a specific disease based on their medical history, symptoms, and test results. Disease Prediction Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Machine Learning singkat dalam Python Jupyter notebook

Shopping List Generator Notebook: A practical Jupyter Notebook for creating, managing, and automating shopping lists. Includes customizable features for categorization, quantity management, and user-friendly outputs.

Exploratory Data Analysis for Covid-19 data and deploying the result on ngrok with jupyter notebook

A data visualisation story of the impact of COVID-19 in South Korea. Developed using Jupyter Notebook and R.

I used Pandas and Numpy libraries with Jupyter notebook to analyze school district data. I used prescarpped datasets about students and schools information.

Data Science Capstone Project on SpaceX Launches This repository contains Jupyter notebooks exploring and analyzing SpaceX launch data. Includes data collection, EDA, machine learning, and data visualization.

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.