Create a machine learning pipeline, that categorizes disaster events.

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

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

Automating the data preprocessing pipeline

scrape e-commerce site products information

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

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.

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.

Inconsistent company names demo

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.

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

I learnt data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

中文对话数据清洗

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

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.

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

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

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