Create HTML profiling reports from pandas DataFrame objects

Demo from Data Community Bydgoszcz i Toruń, 27.02.2019

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.

Notes on Machine Learning with DataSets and Examples

Cloud Run using HTTP Requests to Explore a CSV structured dataset with Pandas Profiling

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

IMDB 5000 Movies Dataset

A New Interactive Approach to Learning Data Analysis

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

Easy way to analyze your files through web-interface

Uncover the factors that lead to employee attrition at IBM

Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling

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.

Analyse the factors which lead to online shopping on a website and building predictive models for it.

A quick analysis of the pandas profiling package. This is an attempt to review the usefulness of the package itself.