ODSC - Open Data Science

FEBRUARY 24, 2023

ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. The tool is a full-stack BI platform, so analysts can write their metrics in-house, enabling the entire business to work with the data with ease.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Towards AI

JANUARY 27, 2023

Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business. EDA is an iterative process, and is used to uncover hidden insights and uncover relationships within the data. Let me walk you through the definition of EDA in the form of a story.

Exploratory Data Analysis 94

Exploratory Data Analysis Data Analysis Data Analysis EDA 94

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Submission Suggestions The project I did to land my business intelligence internship — CAR BRAND SEARCH was originally published in MLearning.ai imagine AI 3D Models Mlearning.ai

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Mlearning.ai

MARCH 4, 2023

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. In this tutorial, we will perform EDA on the S&P 500 dataset using Python. In this tutorial, we performed EDA on the S&P 500 dataset using Python. pct_change().dropna(),

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis EDA 52

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) EDA: Calculate overall churn rate. It involves handling missing values, correcting errors, removing duplicates, standardizing formats, and structuring data for analysis.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 126

ML ML AWS AI 126