Korean OCR Model Design(한글 OCR 모델 설계)

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

A robust method integrating N-gram encoding and ensemble modeling for enhanced splice site prediction accuracy.

Exercises for the "Data Analytics" course, University of Bologna (2021/2022)

Create a machine learning model using logistic regression that can predict credit card approvals from the described dataset.

Unofficial but extremely useful Label and One Hot encoders.

Binary classification algorithm that predicts which passengers are transported to an alternate dimension

Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.

Digit Recognition Neural Network: Built from scratch using only NumPy. Optimised version includes HOG feature extraction. Third version utilises prebuilt ML libraries.

📶In this repository, we will do feature engineering with Python.

Basic ML Algorithm that uses advanced regression techniques to predict the price of a house

Classification of Sentinel-2 land cover multiband images through an ensamble of DNN

A two layered LSTM model to solve binary classification problem (positive and negative movie review)

Classification task using supervised learning techniques algorithms: k-NN & decision trees

A comparison of a few sample optimization algorithms has been made using the IRIS dataset on Keras and Sklearn frameworks.

One-hot encoding for simple molecular-input line-entry system (SMILES) strings

The primary goal of this project is to convert free users of a financial tracking app into paid members. This conversion will be achieved by building a model that identifies users who are unlikely to enroll in the paid version of the app.