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analisis-data-bike-sharing

Proyek Analisis Data - Course Data Science Dicoding

analisis-sentimen-perpajakan

Repository ini merupakan produk tugas akhir (skripsi)

appscripts_googleform

datasciencetraine_assestment

This repository is code documentation for solving data science training assessment questions

dl-poverty-level

This repository contains the code and resources for a research project focusing on poverty detection in North Sumatra Province using a multimodal data analysis approach. The study integrates satellite imagery and National Socioeconomic Survey (SUSENAS) data to create predictive models and spatial mapping of poverty levels.

dl_coursewiradkp

FREE deep learning online course for everyone

dl_klasifikasicitra_cnn

Repo ini berfokus pada klasifikasi citra menggunakan Convolutional Neural Network (CNN). Langkah-langkah mencakup ekstraksi dataset "rockpaperscissors," pembagian dataset, augmentasi gambar, pembangunan model Sequential, penggunaan CategoricalCrossentropy sebagai loss function, pelatihan model, visualisasi kinerja, dan prediksi

eventcerdigcompetition

This repository contains a simple HTML, CSS, and JavaScript program to create an informative website for the science olympiad and robotics events organized by Yayasan Cerdas Digital Indonesia.

form_quiz

a simple web-based application for science olympiads. Here I tried to create a kind of "shell" to strengthen the security of Google forms

invitation

lkpei

modul_gelombang_bunyi

modul_kimia_analitik

modul_reaksikimiaorganik

modul_sifatcahaya

pkb-smk-sumut

Perlengkapan Eksperimen PKP Guru SMK Sumatera Utara

poverty-level-regression

Predicting North Sumatra's (2022) poverty levels with Random Forest Regression and Support Vector Regression. Claim: All content is legally registered as Copyright & Intellectual Property in Indonesia. Contact the developer for usage inquiries.

protein-secondary-structure-prediction-with-svm-and-gridsearch

This GitHub repository contains a machine learning project focused on predicting the secondary structure of proteins using Support Vector Machines (SVM) as the underlying predictive model. The predictive power of SVM is further optimized through hyperparameter tuning using GridSearch.

sistem-antrian

sistem-deteksi-penyakit-kardiovaskular

sistem-pengenalan-emosi