Statistics for topic exploratory-data-analysis
RepositoryStats tracks 567,270 Github repositories, of these 66 are tagged with the exploratory-data-analysis topic. The most common primary language for repositories using this topic is Jupyter Notebook (28). Other languages include: Python (19)
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Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Automatically find issues in image datasets and practice data-centric computer vision.
Always know what to expect from your data.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Classification of Breast Cancer diagnosis Using Support Vector Machines
Automatically find issues in image datasets and practice data-centric computer vision.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Visualize and compare datasets, target values and associations, with one line of code.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Always know what to expect from your data.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Classification of Breast Cancer diagnosis Using Support Vector Machines
Automatically find issues in image datasets and practice data-centric computer vision.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Always know what to expect from your data.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Visualize and compare datasets, target values and associations, with one line of code.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used ...
This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user prefere...
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. The main aim of the project is to uncover insi...
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.