intanq

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/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