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

Keras implementation of multi-label classification of movie genres from IMDB posters

Case-based Reasoning (CBR) System

NLP tutorials and guidelines to learn efficiently

We tried in this notebook to predict student admissions to graduate school at UCLA based on three pieces of data.

Classification - Term Deposit Opening Decision

Natural Language Processing In Actions

This project involves training of Machine Learning models to predict the Heart Failure for Heart Disease event. In this KNN gives a high Accuracy of 89%.

Using Natural Language Processing techniques, to predict diacritics of an Arabic Text.

Revolutionize sales forecasting for Rossmann stores with our high-accuracy XGBoost model, leveraging data analysis, feature engineering, and machine learning to predict sales up to six weeks in advance.

💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

Using Regression algorithms for predict houses prices for a dataset

Feature Engineering

This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).

Feature Engineering

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