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Name: Alexander Tiopan
Type: User
Bio: Data Scientist | Data Analytics | AI Engineer | Business Analyst
Location: Jakarta
Name: Alexander Tiopan
Type: User
Bio: Data Scientist | Data Analytics | AI Engineer | Business Analyst
Location: Jakarta
Predicts the fair value of Company XYZ's during participation rights in the X project using American Binomial Options Method.
Using RNN with LSTM neural networks, this project forecasts Brent oil prices by preprocessing historical data, training the model with dropout, and evaluating for accurate predictions.
This project aims to classify fish species using morphological features extracted from fish images, including dissimilarity, correlation, and energy.
The project implements Adaboost from scratch to classify wine classes using features from the wine dataset.
This project aims to cluster digital wallet users based on their survey responses using the KPrototypes algorithm, which handles both numerical and categorical data, resulting in three distinct clusters characterized by different demographic and behavioral attributes.
Cluster mobile phones by attributes for market segmentation. Employ K-means, preprocessing, and visualization tools in Python for analysis and insights.
Analyze Banten Marine Polytechnic cadet/alumnus profiles with age, recency, frequency, and monetary methods, clustering via K-means algorithm from scratch.
The project models a compressor machine to predict parameter changes, ensuring stable pressure. It preprocesses data, employs ensemble methods, and utilizes reinforcement learning.
Apply Greedy and Welch Powell algorithms to assign colors to map districts ensuring adjacent districts have different colors.
Developing a fracture detection system for leg radiographs using VGG16 pre-trained CNN, aiming to enhance diagnosis efficiency in clinical settings.
Utilize the GE McKinsey Matrix methodology to assess product strategic positioning within the market using Python tools.
A custom Radial Basis Function (RBF) neural network is implemented to predict gold prices using time series data.
Clustering hospital revenue from insurance claim payment using timeseries clustering method.
Developing Indonesian spelling correction using RNN model on root word dataset. Preprocess with tokenization and root form conversion, train, evaluate, and potentially improve deployment.
Forecast time series using ARIMA, employing exploratory data analysis, data preprocessing, stationarity checks, AR and MA modeling, differencing, and Python libraries.
Automates fake news identification in Kompas articles, comparing Random Forest and Convolutional Neural Network models for text classification.
The project enhances GARUDA's cybersecurity by employing deep learning to classify malware in scholarly resources, utilizing Python libraries and evaluation metrics.
The project utilizes Support Vector Regression to predict individual weights from obesity data, contributing to personalized healthcare strategies.
Install packages, define CNN in PyTorch, load weights, export to ONNX, fix input name error, save model.
Employing TOBA stock data, the random forest algorithm predicts price trends, reaching a 70.2% accuracy post hyperparameter tuning and feature selection.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.