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algoritmabruteforce

Tugas Grafika Komputer Kelompok 2 tentang Algoritma Brute Force

bank_fraud_detection

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.

customer_segmentation

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.`

diabetes_pred_stacking

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

Diamond Price Predictor Menggunakan Algoritma KNN, Random Forest, dan Boosting

digits_recognition

This is a ML model to recognize image of digits

drowsiness-detection

Detecting Drowsiness with Machine Learning

employee_attrition

This project is to predict the employee attrition, how likely the employee to leave the company.

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

nabs-resolution

repositori untuk menyimpan my resolutions

nbilasals

nbilasals.github.io

sentimen_pytorch

Analisis Sentimen Menggunakan Pytorch dan pre-trained model Indobert-base-p1