Trending repositories for topic exploratory-data-analysis
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.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
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
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 SQL and markdown
Always know what to expect from your data.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
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.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Beautiful visualizations of how language differs among document types.
Automatically visualize your pandas dataframe via a single print! 📊 💡
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
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Always know what to expect from your data.
Visualize and compare datasets, target values and associations, with one line of code.
Interactively explore unstructured datasets from your dataframe.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Beautiful visualizations of how language differs among document types.
Automatically visualize your pandas dataframe via a single print! 📊 💡
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 SQL and markdown
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
Visualize and compare datasets, target values and associations, with one line of code.
Automatically visualize your pandas dataframe via a single print! 📊 💡
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Automatically find issues in image datasets and practice data-centric computer vision.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Beautiful visualizations of how language differs among document types.
This topic explains about the implementation of exploratory data analysis (EDA). A total of 21 EDA case studies have been implemented using the Malaysian dataset.
Complete-Life-Cycle-of-a-Data-Science-Project
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...
Classification of Breast Cancer diagnosis Using Support Vector Machines
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...
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...
Advancing QGrid, an interactive grid for exploring DataFrames in JupyterLab/Notebook
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
This topic explains about the implementation of exploratory data analysis (EDA). A total of 21 EDA case studies have been implemented using the Malaysian dataset.
A New Interactive Approach to Learning Data Analysis
A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data...
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...
Automatically find issues in image datasets and practice data-centric computer vision.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Always know what to expect from your data.
this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.
Complete-Life-Cycle-of-a-Data-Science-Project
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 SQL and markdown
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
Automatically visualize your pandas dataframe via a single print! 📊 💡
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...
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Interactively explore unstructured datasets from your dataframe.
Visualize and compare datasets, target values and associations, with one line of code.
Automatically find issues in image datasets and practice data-centric computer vision.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Beautiful visualizations of how language differs among document types.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Complete-Life-Cycle-of-a-Data-Science-Project
this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.
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...
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...
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...
Advancing QGrid, an interactive grid for exploring DataFrames in JupyterLab/Notebook
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.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal ...
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study a...
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data...
This topic explains about the implementation of exploratory data analysis (EDA). A total of 21 EDA case studies have been implemented using the Malaysian dataset.
this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.