A deep learning project for cervical cancer detection, classifying cervical cell images into 5 classes. It uses pre-processing techniques like SLIC super pixel segmentation and Canny edge detection, followed by fine-tuning pre-trained CNN models like ResNet50, VGG16, InceptionV3, EfficientNetB0-B7 and MobileNetV2-V3 to compare model performance.

[2024-1 신호처리 및 응용] PenAI조 데이터 전처리 과정 및 CNN 모델 테스트

Modules for converting an image dataset to CSV files.

This repository contains a Google Colab notebook that provides tools and techniques to help identify and locate bad labels in datasets. Bad labels refer to incorrect, inconsistent, or misleading annotations assigned to data points.

CMIP6 data pre-processing and handling tool

preprocess images and generate train, validation, test dataset

A repository to show how to use Google Cloud's Dataflow pipelines for data preprocessing using Apache beam in python

In this project, I have used a custuomized Lenet-5 convolutional neural network architecture to classify German traffic signs.

This repository is used for DSCI 525 - Web and Cloud Computing course project

Set of algorithms for feature selection in high-dimensional datasets.

Now u can learning machine learning through one paper

A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.

Predicting the readmission of Diabetic patients using Machine Learning based on various factors.

Data Preprocessing for NLP

Evaluate different methods speed on a pandas DataFrame to find which one is better for us.

Data science projects using various python libraries.