🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning

A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.

中文对话数据清洗

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.

A Python library for day to day data analysis and machine learning. This aims to make data building, cleaning and machine learning much much faster. A library of extension and helper modules for Python's data analysis and machine learning libraries.

Automating the data preprocessing pipeline

Create a machine learning pipeline, that categorizes disaster events.

excel, markdown, csv, sql 数据源批量/单独格式互相转换

This is replicable exploratory data analysis of Peru SINADEF database (death index) of covid-19 related cases.

MAHA is an in-progress ETL package which uses machine learning to clean your dataset with one line command.

The dataset I wrangled (and analysed and visualized) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.

Data ETL for machine learning with dockerizing, including data crawling, data transforming/cleaning, and saving data to s3

scrape e-commerce site products information

This data analysis and visualization project aimed at presenting the work of OBA-Floripa NGO to authorities and the general population. The idea is to claim the need for continued funding resources, given the positive impact of the organization's activities on public health issues.

A tool that automatically detects and corrects errors in location data and imputes missing values for location-dependent data, such as region name.

Inconsistent company names demo

서강대학교 2023-2 '빅데이터의 이해와 교육적 활용(캡스톤디자인)' 과목 '에스프레소' 팀