nabila's Projects
Tugas Grafika Komputer Kelompok 2 tentang Algoritma Brute Force
Bank Fraud Detection using Machine Learning: Identify and prevent fraudulent activity in the banking system using machine learning algorithms. Utilized approaches to train the models on a labeled dataset.
Segment customers by behavior and demographics using clustering algorithms. Retain long-time loyal customers for greater impact on company success. Data from Kaggle's "Customer Personality Analysis." Utilizes K-Means Clustering, DBScan, and Agglomerative Algorithm for segmentation.`
The machine learning model to classify whether a patient has diabetes or not, using a dataset of patient records and the ensemble technique of stacking. The goal of this project was to improve the accuracy of diabetes prediction, which is important for early diagnosis and treatment.
Diamond Price Predictor Menggunakan Algoritma KNN, Random Forest, dan Boosting
This is a ML model to recognize image of digits
Detecting Drowsiness with Machine Learning
This project is to predict the employee attrition, how likely the employee to leave the company.
Google IT Automation with Python Professional Certificate - Practice files
The analysis to assess and understand the condition of bridges on national roads in various Indonesian provinces.
repositori untuk menyimpan my resolutions
Melakukan segmentasi citra jentik nyamuk dengan thresholding otsu, deteksi tepi, dilasi dan finding countors untuk mengidentifikasi jumlah jentik nyamuk,
Analisis Sentimen Menggunakan Pytorch dan pre-trained model Indobert-base-p1
This repository contains code and dummy data for QRIS (Quick Response Code Indonesian Standard) sentiment analysis.