Pinned Repositories
aminahnurrahmawati
Config files for my GitHub profile.
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
chatbot_using_langchain
chatbot using LLM langchain
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
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
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
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
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
Sending_sensors_data_to_Thinger_io_IoT_platform
The Sensor Used were DHT11, soil moisture sensor, and LDR sensor, the basis was ESP8266
type-of-north-america-bear-that-will-attack-prediction
in this project I predict what type of North America bear that will attack based on the dataset that we have. I apply 3 different classification algorithm and compare them to see which algorithm that give high performa for this dataset
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