Data Science Dojo

JULY 11, 2025

of thw problems source: xAI Real-World Use Cases Whether you’re a data scientist, developer, or researcher, Grok 4 opens up a wide range of possibilities: Exploratory Data Analysis : Grok 4 can automate EDA, identify patterns, and suggest hypotheses. Grok 4 was able to solve about 38.6%

Exploratory Data Analysis 244

Exploratory Data Analysis AI AI EDA 244

Dataversity

JANUARY 27, 2025

Models like ChatGPT and LLama can generate text and code, perform exploratory data analysis, and automate documentation, which introduces countless opportunities for data science efficiencies. Generative AI (GenAI) has undoubtedly taken the spotlight as this years defining innovation.

Exploratory Data Analysis 90

Exploratory Data Analysis Data Analysis Data Analysis Data Science 90

Flipboard

JULY 16, 2025

Understanding Raw Data Raw data contains inconsistencies, noise, missing values, and irrelevant details. Understanding the nature, format, and quality of raw data is the first step in feature engineering. Data audit : Identify variable types (e.g.,

Machine Learning 153

Machine Learning Machine Learning Natural Language Processing Data Science 153

KDnuggets

JUNE 19, 2025

Python works best for: Exploratory data analysis and prototyping Machine learning model development Complex ETL with business logic Statistical analysis and research Data visualization and reporting Go: Built for Scale and Speed Go takes a different approach to data processing, focusing on performance and reliability from the start.

Python 286

Python Natural Language Processing Data Science Machine Learning 286

Flipboard

JUNE 13, 2025

Effective data handling, including preprocessing, exploratory data analysis, and making sure data quality, is crucial for creating reliable AI models. R: A powerful tool for statistical analysis and data visualization, R is particularly useful for exploratory data analysis and research-focused AI applications.

Artificial Intelligence 71

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 71

Dataconomy

JUNE 16, 2025

By specific applications High-performance computing (HPC) environments demonstrate the benefits of parallel file systems in various applications: Climate modeling Computer-aided engineering Exploratory data analysis Financial modeling Machine learning Seismic data processing Comparison with distributed file systems Understanding the differences between (..)

Exploratory Data Analysis 91

Exploratory Data Analysis Data Analysis Data Analysis Clustering 91

Pickl AI

JUNE 5, 2025

This method uses distance metrics and linkage criteria to build dendrograms, revealing data structure. While computationally intensive, it excels in interpretability and diverse applications, with practical implementations available in Python for exploratory data analysis.

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

Women in Big Data

JUNE 6, 2025

The hackathon presented the perfect balance of challenge and engagement, allowing us to implement Python programming skills across the entire data science pipeline – from initial data cleaning and processing through exploratory data analysis to advanced machine learning model development and optimization.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Data Science 52

Dataconomy

APRIL 3, 2025

Data intuition This technique enhances data understanding and visualization by revealing hidden patterns and relationships, which might not be immediately apparent in high-dimensional space. Applications of t-SNE The versatility of t-SNE is evident in its wide adoption across various fields for different analytical purposes.

Clustering 91

Clustering Exploratory Data Analysis Data Analysis Data Analysis 91

Pickl AI

JUNE 5, 2025

Key Responsibilities of a Data Scientist in India While the core responsibilities align with global standards, Indian data scientists often face unique challenges and opportunities shaped by the local market: Data Acquisition and Cleaning: Extracting data from diverse sources including legacy systems, cloud platforms, and third-party APIs.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Dataconomy

MARCH 11, 2025

Advantages of using linear regression Linear regression has several benefits, including: Its a straightforward method, facilitating exploratory data analysis. Estimating probabilities in transaction fraud for fraud detection applications. It effectively identifies and illustrates relationships between variables.

Supervised Learning 91

Supervised Learning Machine Learning Machine Learning Exploratory Data Analysis 91

Women in Big Data

APRIL 8, 2025

He guided participants through a structured methodology for business analytics projects, emphasizing the need to spend adequate time on problem definition, analytical formulation, data collection, exploratory data analysis, and insight generation.

Exploratory Data Analysis 52

Exploratory Data Analysis Analytics Analytics Big Data 52

Flipboard

JULY 3, 2025

Data engineers can create and manage extract, transform, and load (ETL) pipelines directly within Unified Studio using Visual ETL. They can transform raw data sources into datasets ready for exploratory data analysis.

ML 110

ML ML AWS Data Engineering 110

Pickl AI

NOVEMBER 4, 2024

Its flexibility allows you to produce high-quality graphs and charts, making it perfect for exploratory Data Analysis. Use cases for Matplotlib include creating line plots, histograms, scatter plots, and bar charts to represent data insights visually.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Towards AI

APRIL 23, 2025

Exploratory analysis and data storytelling on global forest loss Prompting GPT-4 for exploratory data analysis and storytelling are an essential tool to add to your data science toolbox. Last Updated on April 23, 2025 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI.

Exploratory Data Analysis 60

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 60

Analytics Vidhya

MARCH 5, 2025

What if you could skip the boring bits of data analysis and jump straight to the good stuff – like uncovering insights? appeared first on Analytics Vidhya.

Data Science 140

Data Science Exploratory Data Analysis EDA Data Analysis 140

Pickl AI

APRIL 21, 2025

This crucial step involves handling missing values, correcting errors (addressing Veracity issues from Big Data), transforming data into a usable format, and structuring it for analysis. This often takes up a significant chunk of a data scientist’s time. Think graphs, charts, and summary statistics.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

KDnuggets

JUNE 27, 2025

This will save you a ton of time if you’re a beginner who wants to analyze some data but don’t know how to write Python code. With Pandas AI, however, we just need to write a prompt.

Analytics 272

Analytics Analytics Data Science AI 272

AWS Machine Learning Blog

JUNE 5, 2025

Legacy workflow: On-premises ML development and deployment When the data science team needed to build a new fraud detection model, the development process typically took 24 weeks.

Machine Learning 61

Machine Learning Machine Learning AWS ML 61

Analytics Vidhya

MAY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results.

Exploratory Data Analysis 399

Exploratory Data Analysis Data Analysis Data Analysis Data Science 399

Analytics Vidhya

NOVEMBER 15, 2021

The post The Fundamentals of Exploratory Data Analysis appeared first on Analytics Vidhya.

Exploratory Data Analysis 399

Exploratory Data Analysis Data Analysis Data Analysis Data Science 399

Flipboard

MAY 30, 2025

Following this filtering mechanism, data points not achieving 100% accuracy on instruction adherence are removed from the training dataset. This data preparation technique helped to improve the efficiency and quality of the fine-tuning and prompt engineering by more than 20%.

AWS 117

AWS Machine Learning Machine Learning Exploratory Data Analysis 117

Dataconomy

MARCH 5, 2025

Machine learning: Developing models that learn and adapt from data. Predictive modeling: Making forecasts based on historical data. Statistical analysis: Applying statistical techniques for robust exploratory data analysis.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Analytics Vidhya

AUGUST 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by fauxels from Pexels What is Exploratory Data Analysis? Exploratory. The post Exploratory Data Analysis and Visualization Techniques in Data Science appeared first on Analytics Vidhya.

Exploratory Data Analysis 374

Exploratory Data Analysis Data Analysis Data Analysis Data Science 374

Analytics Vidhya

JULY 31, 2022

Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis.

Exploratory Data Analysis 392

Exploratory Data Analysis EDA Data Analysis Data Analysis 392

Analytics Vidhya

APRIL 6, 2022

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process.

Exploratory Data Analysis 358

Exploratory Data Analysis EDA Data Analysis Data Analysis 358

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What is EDA(Exploratory data analysis)? Exploratory data analysis is a great way of understanding and analyzing the data sets. The post Exploratory Data Analysis on UBER Stocks Dataset appeared first on Analytics Vidhya.

Exploratory Data Analysis 357

Exploratory Data Analysis Data Analysis Data Analysis EDA 357

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.

Exploratory Data Analysis 400

Exploratory Data Analysis Data Analysis Data Analysis EDA 400

Analytics Vidhya

JUNE 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Exploratory data analysis is the first and most important phase. The post EDA: Exploratory Data Analysis With Python appeared first on Analytics Vidhya.

Exploratory Data Analysis 349

Exploratory Data Analysis EDA Data Analysis Data Analysis 349

Analytics Vidhya

AUGUST 27, 2020

Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in Data Science, people generally. The post Exploratory Data Analysis(EDA) from scratch in Python! appeared first on Analytics Vidhya.

Exploratory Data Analysis 361

Exploratory Data Analysis EDA Data Analysis Data Analysis 361

Analytics Vidhya

JANUARY 9, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Let us walk through the Exploratory Data Analysis on NYC. The post Exploratory Data Analysis on NYC Taxi Trip Duration Dataset appeared first on Analytics Vidhya.

Exploratory Data Analysis 353

Exploratory Data Analysis Data Analysis Data Analysis Data Science 353

Analytics Vidhya

APRIL 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is an important component as well. The post 20 Must-Know Pandas Function for Exploratory Data Analysis appeared first on Analytics Vidhya.

Exploratory Data Analysis 349

Exploratory Data Analysis Data Analysis Data Analysis EDA 349

Analytics Vidhya

APRIL 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Topic to be covered What is Exploratory Data Analysis What. The post Top Python Libraries to Automate Exploratory Data Analysis in 2021 appeared first on Analytics Vidhya.

Exploratory Data Analysis 353

Exploratory Data Analysis Data Analysis Data Analysis Python 353

Analytics Vidhya

APRIL 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Mastering Exploratory Data Analysis(EDA) For Data Science Enthusiasts appeared first on Analytics Vidhya. Overview Step by Step approach to Perform EDA Resources Like.

Exploratory Data Analysis 361

Exploratory Data Analysis EDA Data Analysis Data Analysis 361

Analytics Vidhya

OCTOBER 10, 2022

Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them during EDA. […].

Exploratory Data Analysis 319

Exploratory Data Analysis Data Analysis Data Analysis EDA 319

Analytics Vidhya

SEPTEMBER 17, 2022

The post Exploratory Data Analysis of Zomato Bangalore Restaurants appeared first on Analytics Vidhya. Introduction With the rise of meal delivery services, everyone can now enjoy their favorite restaurant food from the comfort of their own home. Zomato is one of India’s most extensively […].

Exploratory Data Analysis 348

Exploratory Data Analysis Data Analysis Data Analysis Data Science 348

Analytics Vidhya

FEBRUARY 8, 2022

Overview Understanding how EDA is done in Python Various steps involved in the Exploratory Data Analysis Performing EDA on a given dataset Introduction Exploratory data analysis popularly known as EDA is a process of performing some initial investigations on the dataset to discover the structure and the content of the given dataset.

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Exploratory Data Analysis Data Analysis Data Analysis Python 306