achmad makarim widyanto's repositories
scrapping-twit
ambil data twitter(twit, reply, retweet) menggunakan tweepy
belajar-golang
sumber dari dokumentasi golang
challenge
jawaban semua competitive programming hackerrank, coderbyte
Cnn_jati
klasifikasi varietas jati menggunakan metode Convolutional Neural Network(CNN)
copy-list-selected-files
menggandakan file untuk ditaruh di folder lain berdasarkan daftar yang ditentukan atau sesuai keiinginan
dasarjs
beasiswa lintasarta digital school x dicoding
edenfarm
jawaban logical test
fizzbuzz
problem solving for case about fizzbuzz
grupi-mentalhealth
aplikasi pemantau gangguan mental berdasarkan twit yang diposting, dan pemantau gangguan mental secara keseluruhan
Judging-Servers
salah satu problem yang harus diselesaikan dalam Shopee Code League 2020 pada kompetisi Short Algorithm
levelup
https://levelup.gitconnected.com/crud-restful-api-with-go-gorm-jwt-postgres-mysql-and-testing-460a85ab7121
Machine-Learning-Terapan-Toxic-Comment
submission pertama Dicoding modul Machine Learning Terapan dengan tema text analysis pada toxic comment.
makarimskripsi
repository skripsi daun jati untuk deploy
Order-Brushing
Shopee Code League
PreTestWebDev
jawaban untuk uji coba sebelum sertifikasi
rabbitmq
learn message broker using rabbitmq
requestencrypt
merubah isi request supaya tidak bisa terbaca
Sentiment-Analysis-Product-Shopee
Background At Shopee, we always strive to ensure the customer’s highest satisfaction. Whatever product is sold on Shopee, we ensure the best user experience starting from product searching to product delivery, including product packaging, and product quality. Once a product is delivered, we always encourage our customer to rate the product and write their overall experience on the product landing page. The rating and comments provided for a product by our buyers are most important to us. These product reviews help us to understand our customers needs and quickly adapt our services to provide a much better experience for our customers for the next order. The user's comments for a product ranges from aspects including delivery services, product packaging, product quality, product specifications, payment method, etc. Therefore it is important for us to build an accurate system to understand these reviews which has a great impact on overall Shopee’s user experience. This system is termed: "Shopee Product Review Sentiment Analyser". Note: This page is for participants from the student group! Task In this competition, a multiple product review sentiment classification model needs to be built. There are ~150k product reviews from different categories, including electronics, furniture, home & living products like air-conditioner and fashion products like T-shirts, rings, etc. For data security purposes, the review ids will be desensitized. The evaluation metrics is top-1 accuracy.
Sertifikasi-Web-Junior
Jawaban dari soal sertifikasi web junior developer dari LSP TIK
TebakKode
contoh project membuat linechatbot menggunakan PHP
TokoKelontong
perhitungan kasir PT Toko Kelontong
webinarspe
introduction API GORM
Yii2-Basic-restful-API
belajar yii 2.0 framework untuk membuat restful API