David singhdavidsingh0.hashnode.dev·Feb 8, 2025EDA (Exploratory Data Analysis)To train a model, we need to feed it Data. Data which is “cleaned” and “appropriate” for training our machine. Appropriate data means it is “only that much” that is required, consisting of no duplicate values, and irrelevant data(row or column or Nul...Machine Learning
Vijaykrishnavijayv2k.com·Jan 27, 2025Analyzing Employee Details – Data Exploration & ManipulationIntroduction Organizations have a vast amount of employee data. The HR personnel in these organizations must understand these data and use basic statistical techniques to formulate effective strategies. They can use statistical methods such as mean, ...53 readsHR AnalyticsData Science
Luka Lovenjaklukalovenjak.hashnode.dev·Jan 5, 2025The Backbone of Leverkusen's Invincibles: Analyzing Xhaka and Palacios' Influence in All Phases of PlayBayer Leverkusen’s historic unbeaten 2023/24 Bundesliga season was celebrated for its attacking brilliance, with standout performances from Jeremie Frimpong, Alejandro Grimaldo, and Florian Wirtz often taking center stage. However, this analysis shif...76 readsfootballanalysis
Abrar Mahmud Hasanabrar21.hashnode.dev·Dec 29, 2024Hunting outliers with IQRIntroduction Outliers can often be the mischievous troublemakers of any dataset, throwing off your analysis and skewing your results. But what exactly is an outlier? Simply put, it’s a data point that stands out like a sore thumb—something that doesn...data analysis
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 30, 2024Day 13: Advanced EDA TechniquesWelcome to Day 13! Today, we’re building on the foundational EDA techniques we explored yesterday by diving into advanced EDA methods. These approaches help us uncover deeper insights, especially in larger or more complex datasets. Advanced EDA Tech...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 29, 2024Day 12: Exploratory Data Analysis (EDA) TechniquesWelcome to Day 12! Today, we’re diving into Exploratory Data Analysis (EDA), a critical step in any data science project. EDA helps us uncover patterns, relationships, and distributions within our data, providing insights to guide further analysis an...30 Days Data Science ChallengePython
Nischal Baidarnischalbaidar.hashnode.dev·Oct 19, 2024Day 15 - Understanding Your Data by Asking QuestionsWhen working with data, the first step to making sense of it is to ask the right questions. These questions guide your exploration and help you gather insights before diving into any analysis or modeling. How Big is the Data? Check the number of ro...nischal_baidar
Prakhar Kumarprakhartechinsights.hashnode.dev·Jul 25, 2024Exploratory Data Analysis (EDA): A Crucial Step Before Applying Machine LearningExploratory Data Analysis (EDA) is a fundamental process in the data science pipeline, performed before applying machine learning algorithms. It involves analyzing and summarizing the main characteristics of a dataset to gain insights, detect anomali...AI/ML Blog By Prakhareda
Anix Lynchgozeroshot.dev·Jul 25, 2024Why taxi orders fail? EDA 🚗Download dataset and source code here Expected Outcome Understand Failure Reasons: Identify which failure reasons are most common. Identify Critical Times: Spot times with high failure rates and their causes. Optimize Cancellation Processes: Impro...1 likeexploratory data analysis
Anix Lynchgozeroshot.dev·Jul 25, 2024How to increase sales with data 📈 Fitness business caseDataset and Jupyterfile download In this analysis, we aim to understand the profile of treadmill buyers to tailor our marketing strategies and improve sales. By analyzing the demographics and behaviors of our customers, we can derive actionable insig...exploratory data analysis