TrilaksonoBS
Business Intelligence Analyst Project-Based Intern Bank Muamalat | Ex Data Scientist Project-Based Intern ID/X Partners | Data Analysis & Data Science Enthusias
Indonesia
Pinned Repositories
Credit-Risk-Management-by-Using-Machine-Learning
In this project, we wanna create Credit Risk Management by using Machine Learning, so we dig into the data. what we do for the next steps are Data Preparation, EDA(Exploratory Data Analysis), Data Visualization, Data Preprocessing (Handling Outliers, Missing Value, Feature Encoding, Standardization, and Normalization), Creating Machine Learning Model with few algorithms, Evaluation Model, looking for Feature Importance, gain insight, and create a recommendation for Credit Risk Management
GIT_TEST
GIT_TEST_2
test 2
Home-Credit-Score-Card-Model
Develop a machine learning model that can predict potential customers who can borrow money with minimum risk
Predict-Clicked-on-Ads-Classification
The goal of this project was to 'Predict Clicked Ads Customer Classification Using Machine Learning' in order to optimize ad costs and increase engagement.
Smart-Trash-Bin-using-Raspberry-PI-Microcontroller-Python-
The issues in this study are limited to the production of a "PROTOTYPE" AN AUTOMATIC BIN BASED ON A RASPBERRY PI ZERO MICROCONTROLLER" consisting of the main components in the form of an ultrasonic sensor HC-SR04 and an IR-Photodiode sensor as input. The Raspberry PI Zero serves as the controller, and the outputs are a buzzer and a servo motor.
TrilaksonoBS's Repositories
TrilaksonoBS/Credit-Risk-Management-by-Using-Machine-Learning
In this project, we wanna create Credit Risk Management by using Machine Learning, so we dig into the data. what we do for the next steps are Data Preparation, EDA(Exploratory Data Analysis), Data Visualization, Data Preprocessing (Handling Outliers, Missing Value, Feature Encoding, Standardization, and Normalization), Creating Machine Learning Model with few algorithms, Evaluation Model, looking for Feature Importance, gain insight, and create a recommendation for Credit Risk Management
TrilaksonoBS/Predict-Clicked-on-Ads-Classification
The goal of this project was to 'Predict Clicked Ads Customer Classification Using Machine Learning' in order to optimize ad costs and increase engagement.
TrilaksonoBS/GIT_TEST
TrilaksonoBS/GIT_TEST_2
test 2
TrilaksonoBS/Home-Credit-Score-Card-Model
Develop a machine learning model that can predict potential customers who can borrow money with minimum risk
TrilaksonoBS/Smart-Trash-Bin-using-Raspberry-PI-Microcontroller-Python-
The issues in this study are limited to the production of a "PROTOTYPE" AN AUTOMATIC BIN BASED ON A RASPBERRY PI ZERO MICROCONTROLLER" consisting of the main components in the form of an ultrasonic sensor HC-SR04 and an IR-Photodiode sensor as input. The Raspberry PI Zero serves as the controller, and the outputs are a buzzer and a servo motor.