alviandaniel2109 Goto Github PK

2018

Foto Angkatan Tahun 2018

absensiqrcode

algoland

Build and deploy Non-Fungible Algorand Tokens with Laravel & IPFS

alviandaniel2109.github.io

analisis-kata-kata-pada-gambar-iklan-dengan-ocr-naive-bayes-knn-dengan-data-review-produk-lazada

aplikasi-antrian-dengan-php

aplikasi-metode-naive-bayes-modifikasi

app_umkm

Aplikasi UMKM

application-spelling-check-with-phpspellchecker-and-plagiarism-checker-with-algorithm-rabin-karp

applications-expert-system-disease-diagnosis-in-tomato-plants

assosiation-rules-with-frequent-items

basic-mathematical-statistics-dataset-

basicforms_1184077

belajarpython

Pembelajaran Python

boiler-plate---nodejscrud-api---jwt-authentication-

buku-internship-1-alvian-daniel-sinaga

buku-proyek-ii

chatbot_skripsi

ci-adminlte3

Ready to use AdminLTE 3 template for Codeigniter3

code_snippets

constructor-2---game-pemilah-sampah

crud-ci4

crud-nodejs-express-sequelize-postgresql

crud-sederhana-murid-readonly-id

decision-tree-and-adboost-from-sklearn

djangopass_1184077

e-filing

Ini cuma skripsi doang kok

firstproject_1184077_alvian

gold-price-forecasting

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the different metrics used to evaluate the forecasts. Goal: The goal of this project was to predict future gold price based on previous gold price. I apply various quantitative methods, (i.e. Times Series Models and Causal Models) to forecast the Price of the gold available in the dataset obtained from Kaggle. Models covered in the Project include: 1.Naive Model 2.ARIMA and Seasonal ARIMA Models 3.Linear Regression Model 4.Model Deployment (Streamlit)

gold-price-forecasting-application-using-fuzzy-time-series-model-chen-and-lee-high-order