Popular GitHub Repositories for Eda

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

Chinese NLP Data Augmentation， BERT Contextual Augmentation

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.

Codify enables data scientists to perform all the tedious and time-consuming tasks such as EDA (exploratory data analysis), data cleaning, data pre-processing, data visualization, modeling, and evaluation in the data-science life cycle, by only conveying the logic of the task in natural language (English) and the system will automatically give out all the relevant python code snippets.

A Python-based repository for mastering exploratory data analysis (EDA) and feature engineering, using libraries like Pandas, Seaborn, and Scikit-learn. Includes practical examples, datasets, and techniques for data visualization, cleaning, and feature optimization.

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

2 Lines of code to track ML experiments + EDA + check into Github

Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network

A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text, aiming to provide early insights and support. ⚕️❤️

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

Reinforcement learning assisted analog layout design flow.

Implementation of SVM Classifier To Perform Classification on the dataset of Breast Cancer Wisconin; to predict if the tumor is cancer or not.