Pinned Repositories
abc
Bank-Customer-Churn-Prediction-
Implements binary classification task to predict whether a customer will likely to churn based on several independent variables. Using a real and normalized data from one of the biggest banks in Indonesia.
BlackJack
Disaster-Tweets-Classification
Implements binary classification task on tweets to determine whether it represents the occurrence of a disaster or not using Recurrent Neural Network (RNN).
FFNN-and-CNN-using-MNIST-and-SVHN-Datasets
Implements FFNN (feed forward neural networks) and CNN (convolutional neural network) to perform classification tasks on MNIST and SVHN datasets.
HackerRankSolutions
Solutions to HackerRank's Problems
Predicting-Rain-Event-using-FFNN
Implements binary classification task to predict rain event by using feed forward neural networks.
Question-Answering-Intelligent-System
Implements a question answering system with several knowledge bases such as web scraped the most relevant website (summarized and not summarized), and user-provided knowledge base. Using a pretrained model DistilBERT and Tesseract OCR to recognize handwritten questions.
Transfer-Learning-ResNet18
Implement multiclass classification task to classify images by using pretrained model ResNet18. Transfer learning with feature extractor and finetuning are used.
unsupervised-learning-projects
Projects on unsupervised learning. Implementation on PCA, Autoencoder, and Variational Autoencoder
intanq's Repositories
intanq/Transfer-Learning-ResNet18
Implement multiclass classification task to classify images by using pretrained model ResNet18. Transfer learning with feature extractor and finetuning are used.
intanq/Bank-Customer-Churn-Prediction-
Implements binary classification task to predict whether a customer will likely to churn based on several independent variables. Using a real and normalized data from one of the biggest banks in Indonesia.
intanq/FFNN-and-CNN-using-MNIST-and-SVHN-Datasets
Implements FFNN (feed forward neural networks) and CNN (convolutional neural network) to perform classification tasks on MNIST and SVHN datasets.
intanq/Predicting-Rain-Event-using-FFNN
Implements binary classification task to predict rain event by using feed forward neural networks.
intanq/Question-Answering-Intelligent-System
Implements a question answering system with several knowledge bases such as web scraped the most relevant website (summarized and not summarized), and user-provided knowledge base. Using a pretrained model DistilBERT and Tesseract OCR to recognize handwritten questions.
intanq/BlackJack
intanq/Disaster-Tweets-Classification
Implements binary classification task on tweets to determine whether it represents the occurrence of a disaster or not using Recurrent Neural Network (RNN).
intanq/HackerRankSolutions
Solutions to HackerRank's Problems
intanq/unsupervised-learning-projects
Projects on unsupervised learning. Implementation on PCA, Autoencoder, and Variational Autoencoder
intanq/abc
intanq/aws-transcribe-streaming-partial-res
intanq/azure-stream-analytics
Azure Stream Analytics
intanq/duplicate-questions-detection-nlp
Duplicate questions detection using Siamese Neural Networks Architecture
intanq/generative-model-exploration-anime-face
intanq/Hotel-Room-Booking-Website-using-Cassandra
Application to book a room in a hotel using a nosql database called Cassandra
intanq/IF5171
Materials for IF5171 DSAI course
intanq/indonesian-financial-domain-lm
Post-training on Indonesian contextual language model (IndoBERT) for financial domain
intanq/mgnfmgfm
intanq/react-admin-dashboard
Complete React Admin Dashboard
intanq/semi-supervised-learning
Semi supervised learning on MNIST dataset. Using pretrained layers (trained using Autoencoder and Variational Autoencoder algos) to perform multiclass classification.
intanq/Tic-Tac-Toe-Game
Tic Tac Toe game written in Python
intanq/uda
Unsupervised Data Augmentation (UDA)
intanq/youtube