说明：Mapping the diverse hues of credit risk into risk categories for informed decision-making, stars:1, update:2024-04-20 12:57:39

说明：This repository contains my solutions for various projects assigned in my university’s Artificial Intelligence course. The projects cover a wide range of AI topics and techniques, providing practical applications of AI theories learned in class.

说明：Deriving Biometrics for Orthostatic Hypotension from Earlobe-Worn Device using Deep Learning, stars:2, update:2024-04-15 19:04:10

说明：This Machine Learning (ML) Python program aims to detect spam emails using an autoencoder-based learning approach. It first imports necessary libraries for data handling, evaluation metrics, preprocessing, and neural network modeling. , stars:0, update:2024-04-15 19:13:38

说明：A Python project that uses CNNs to accurately classify images of horses and humans. , stars:0, update:2024-04-16 21:45:38

说明：Ensemble-based, size-agnostic wrapper for the TabPFN classifier, stars:27, update:2024-04-18 09:32:40

说明：Practical data science lessons , stars:0, update:2024-04-18 09:20:15

说明：Stroke Prediction using Machine Learning , stars:1, update:2024-04-16 18:51:11

说明：Sentiment Analysis on Amazon Fine Food Reviews , stars:1, update:2024-04-16 19:30:53

说明：Code of the article "A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification"., stars:8, update:2024-04-15 23:00:53

说明：Project for the subject Data Laboratories, done in Python, using Web Scraping techniques, curation of Data Frames, Data Visualization and Classification, Natural Language Processing and Regression Models. , stars:0, update:2024-04-12 18:05:07

说明：This Project focuses on Customers and Company, you have to analyze the sentiments of the reviews given by the customer in the data and made some useful conclusion in the form of Visualizations. Also, cluster the zomato restaurants into different segments. The data is visualized as it becomes easy to analyse data at instant. , stars:0, update:2024-04-14 15:08:13

说明：This is my Repository for Deep Learning Project and Works, stars:1, update:2024-04-15 07:38:22

说明：This repository contains a Deep Learning model using Convolutional Neural Networks (CNN) for predicting strokes from CT scans. The model aims to assist in early detection and intervention of strokes, potentially saving lives and improving patient outcomes.

说明：Retinal Image-Based Acute Lymphocytic Leukemia Diagnosis Using Deep Learning and GANs, stars:0, update:2024-04-13 12:58:53

说明：The primary objective of this project is to develop a robust system capable of accurately classifying patient conditions solely based on their reviews. By leveraging advanced NLP techniques, the project aims to streamline the categorization process and provide valuable insights into patient health status.

说明：Statistical Methods for Machine Learning project , stars:0, update:2024-04-13 16:03:40

说明：The project leverages data from physiological signals, self-reported surveys, behavioral observations, or other relevant sources to infer and analyze stress levels. , stars:0, update:2024-04-09 13:15:34

说明：An exploratory data analysis and machine learning project using the Iris dataset to classify flower species with a K-Nearest Neighbors classifier. It includes data visualization, feature scaling, model training, and evaluation with 100% accuracy on the test set.

说明：This repository contains the implementation of a Convolutional Neural Network (CNN) with attention mechanisms for the detection of Pneumonia from chest X-ray images.

说明：Code for TCSVT 22: ECSNet: Spatio-temporal feature learning for event camera, stars:1, update:2024-04-12 16:40:37

说明：Welcome to the repository of our garbage classification project! We have developed a model using PyTorch and EfficientNet-B4 that classifies garbage into twelve different types. The model has achieved an impressive accuracy of 98.66%.

说明：Reconhecimento de Padr?es: , stars:1, update:2024-04-09 16:47:38

说明：The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset. , stars:0, update:2024-04-11 19:58:50

说明：A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks

说明：SIREN Scalable, Isotropic Recursive Column Multimodal Neural Architecture with Device State Recognition Use-Case , stars:1, update:2024-04-11 20:42:35

说明：Utilizing ResNet152V2 for Traffic Sign Classification: Achieve High Accuracy in Identifying 52 Sign Types with 99% Precision, stars:4, update:2024-04-11 15:31:10

说明：WID lunch talk on AI, stars:0, update:2024-04-11 01:20:35

说明：Mathematical Modelling,, stars:1, update:2024-04-11 16:16:00

说明：Some of the topics, algorithms and projects in Machine Learning & Deep Learning that I have worked on and become familiar with., stars:3, update:2024-04-11 15:21:12