aminahnurrahmawati

aminahnurrahmawati

Config files for my GitHub profile.

Physics_with_Java

Basic Physics Problem Solution Using Java

simpleChabotService

this is the service api for Chatbot using openAI API. This repo is for knowledge sharing purpose.

mobile-programming-using-kivy

Developing Simple Mobile App using Kivy library python

chatbot_using_langchain

chatbot using LLM langchain

recomender_system

this is the development of E-commerce Recomendation system using machine learning website app base

xgboost_deployment_on_flask

tes

testing only

chatbot_using_openai

flask API micro service deployment

Scraping-Alamat-Daerah-DKI-Jakarta

Scraping Data alamat lengkap Jalan di beberapa daerah di DKI Jakarta Menggunakan Library Beautiful Soup

House-Rent-Analysis-and-Prediction

This is the notebook of EDA and prediction of house rent prize, several descriptive statistics and hypothesis testing applied, and I also applied the deep learning and Machine learning algorithm. I obtained the dataset from Kaggle, but I really forgot which one who provided this ('sorry :( '). Big thanks to the owner of dataset btw

Data_mining

Mining insights from Retail's Transaction Data

web_scraping

scrap google maps data using sellenium and beautifulsoup

computer_vision_GMI

Using GMI and classification method to predict a class of a picture

labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

sentimen-analisis-twitter-nlp

Applying Naive Bayes Algorithm to find the sentiment analysis of each class of object

Final_project_Digita_Skola_Bootcamp

final_project

pyspark-sql

querying data from several datasets using pyspark. I use google colabs, so I don't have to set up spark in my local computer, I just need to set up the spark from the google colabs

project_4_Digital_Skola

Connecting Python-Postgre-Docker

business-Intelligence-Dashboard

this the dasboard of business intelligence using Google Data Studio. See the complete dashboard vias website : https://datastudio.google.com/reporting/15ad5d23-2296-424c-81cd-08c3df7ad5ba

project_data_engineering3_Digital_Skola

This is the Project on Digital Skola Bootcamp. We import our csv dataset in zip to python and then send it to database (Postgre)

K-Means-Clustering-for-Curry-leafs-area

This is the python code for K-Means clustering for 100 curry leafs area. I measure the length and width of each leafs and calculate the area of each leaf. To obtain some knowledges from the data I do K-means clustering and calculate the geometric means and geometric standard deviation

sending-data-to-discord

here's a data manipulation using pandas and sending it to a discord channel

sql-digital-skola

mine-insights-from-remarks-tarnsaction-data

here's some insights I tried to gain from the remark transactions from a payment application. I applied the NLP too to gain insights from transactions

klaterisasi-tingkat-kriminalitas-per-100-ribu-masyarakat-di-negara-bagian-Amerika

berikut diaplikasikan beberapa algoritma klusterisasi dan reduksi dimensi serta EDA untuk mendapatkan informasi/insight dari data kasus kriminal per 100ribu penduduk dari 50 negara bagian di Amerika

Sending_sensors_data_to_Thinger_io_IoT_platform

The Sensor Used were DHT11, soil moisture sensor, and LDR sensor, the basis was ESP8266

making_mqtt_connection_between_ESP8266_and_Node-RED

I used ultrasonic sensor which measured the distance between the sensor to surface of a wash dish in a bottle to calculate the volume of the wash dish and I sent the information to node_RED via MQTT connection

forcasting_when_container_in_some_harbors_in_south_Korea_will_be_empty

Why do we have to use containers when we are going to export and import? Well, to answer this question, of course, we need to know what are the benefits of the container itself. The benefits of containers from 3 user points of view: Benefits for Shippers – Reduce transportation costs – Save on port fees – Reduce warehousing and inventory costs – Reduce packing costs – Reduce insurance premiums - More comfortable – Easier and better reception (port) – The emergence of new markets Benefits for Shipowners – Speed ​​up turnaround time – More cargo carrying capacity – High return on investment – Global contracts – Higher profitability – Inland operations Benefits for port authorities – Reduce port congestion - Saving time – Fast and convenient loading and unloading – Less marketing effort – Rationalization of cargo handling costs