1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• UpdatedNov 25, 2025
• Python

Pandas profiling component for Streamlit.

• UpdatedMar 4, 2024
• TypeScript

Data Science Feature Engineering and Selection Tutorials

• UpdatedNov 3, 2025
• Jupyter Notebook

A New Interactive Approach to Learning Data Analysis

• UpdatedNov 11, 2025
• Jupyter Notebook

Demo from Data Community Bydgoszcz i Toruń, 27.02.2019

• UpdatedSep 27, 2019
• Jupyter Notebook

Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machine Learning, Business Intelligence, and Business Analytics. This Tutorial Focuses to help the Beginners to learn the core Concepts of Numpy and Pandas and get started with Machine Learning and Data Science.

• UpdatedApr 12, 2020
• HTML

Jupyter Notebook Templates for quick prototyping of machine learning solutions

• UpdatedSep 22, 2021
• Jupyter Notebook

In this repository, we would see different available libraries for Exploratory Data Analysis

• UpdatedJun 20, 2022
• Jupyter Notebook

Using PyCaret to Predict Apple Stock Prices

• UpdatedJun 15, 2022
• HTML

The Automated ML web app project leverages Python along with Pandas Profiling, PyCaret, and Streamlit to provide a seamless and user-friendly experience for automating machine learning workflows. It enables users to effortlessly explore, preprocess, model, and download the trained model

• UpdatedJun 26, 2023
• Python

The Data set is picked from Kaggle which describes the Situation of the Multidimensional Measures around the globe. In this Analysis, I have tried to used Pandas, seaborn, and Ipywidgets for the End to End Analysis of the Subject.

• UpdatedMar 3, 2020
• Jupyter Notebook

Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

• UpdatedFeb 24, 2020
• Jupyter Notebook

This web application is build with python streamlit and this repository helps perfrom EDA(Exploratory Data Analysis ) using pandas-profiling library in python . This web application also helps to analys the target variable using it modelling functon

• UpdatedSep 15, 2023
• Python

VisuVerse is an innovative and user-friendly Data Analysis and Data Visualization WebApp developed using Streamlit.

• UpdatedOct 3, 2023
• Python

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.

• UpdatedJan 12, 2022
• Python

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

• UpdatedMay 28, 2021
• Jupyter Notebook

Learn about the MBTA V3 API by building queries and exploring the results

• UpdatedDec 8, 2022
• Python

pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!

• UpdatedJun 28, 2024
• Jupyter Notebook

In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task

• UpdatedAug 12, 2024
• HTML

Analysis on crime data using pandas

• UpdatedSep 11, 2021
• Jupyter Notebook