Saby_Explainsabyexplain.hashnode.dev·Dec 17, 2024Reading PostgreSQL Query Plans Brought to a New LevelWe've already introduced you to Saby Explain, an open service designed to help you read and analyze query plans in PostgreSQL, and shared the insights on improving poorly performing queries using Explain recommendations. In this post, we’ll highligh...PostgreSQL
Shivam Vishwakarmashivam-vishwakarma.hashnode.dev·Dec 11, 2024ROC Curve: A Comprehensive GuideIntroduction In machine learning, evaluating the performance of a classification model is crucial. One of the most widely used tools for this is the Receiver Operating Characteristic (ROC) Curve. It provides insights into the trade-offs between the t...30 readsMachine Learning
Luis Ochoakodiakk.hashnode.dev·Dec 7, 2024Análisis de Spam en Mensajes de Texto: Implementación de Aprendizaje Automático para su Detección.Introducción Este es un corpus de texto de más de 5,500 mensajes SMS en inglés con aproximadamente el 13% etiquetados como spam. El archivo de texto contiene un mensaje por línea con dos columnas: la etiqueta ("ham" o "spam") y el texto crudo del me...working with dataBegginer
Aldo Yangaldosteroneyang.com·Dec 6, 2024分布模型與排名估計分析1. 核心問題 給定一個具體數值佔比，如何通過不同的（離散）分布模型來估計其可能的排名位置 2. 核心流程 確定模型與參數 實現模型分布 設置模型參數（α, β 等） 計算各排序數值佔比 計算各排名位置的數值 將數值轉換為數值佔比 尋找目標排名 尋找最接近目標數值佔比的排名數值佔比 評估估計誤差範圍 3. 模型比較 模型核心參數分布特征主要優點限制 Power Lawα：幂律指數- 嚴格的長尾特性- 線性衰減（log尺度）- 能準確描述極端不平等-...55 readsstatistics
S.S.S DHYUTHIDHARsudheendra.hashnode.dev·Nov 29, 2024Understanding Data Variability: Advanced SQL Techniques Made EasyHey Everyone! 👋 If you don’t know me yet, I’m Dhyuthidhar Saraswathula, and I love writing about Computer Science and Data Science topics. Today, let’s explore an essential concept in SQL and data analysis: Variability. Fasten your seatbelts because...SQL
S.S.S DHYUTHIDHARsudheendra.hashnode.dev·Nov 24, 2024Understanding Variability in Data Science: A Python PerspectiveHey Everyone! 👋 If you don’t know me yet, I’m Dhyuthidhar Saraswathula, and I love writing about Computer Science and Data Science topics. Today, we’re diving into a fundamental statistical concept that lies at the heart of data analysis: Variabilit...Data Science
Haider Alistatisticswithali.hashnode.dev·Nov 23, 2024Chapter 1 : Exploratory Data AnalysisTopic: Elements of Structured Data Understanding the Importance of Data Types in the World of Big Data The digital age is fueling an explosion of data from a wide range of sources: sensor measurements, text, images, videos, and events from the Intern...Practical Statistics For Data ScientistsData Science
Haider Alistatisticswithali.hashnode.dev·Nov 23, 2024Introduction to Statistics for Data ScientistsHave you ever wondered how Netflix knows exactly what show to recommend? Or how self-driving cars make split-second decisions? The magic behind these complex systems is rooted in a crucial skill every data scientist must master—statistics! In the wo...Practical Statistics For Data ScientistsData Science
Jasmeen Maradeeyablog.jasmeenmaradeeya.me·Nov 21, 2024Types Of StatisticsDescriptive Descriptive statistics focuses on organizing and summarizing data so it’s easier to understand. Think of it as a way to simplify data and highlight the key points. Methods of Descriptive Statistics Here are the two main methods used in de...Statistics For Machine Leaningstatistics
Jasmeen Maradeeyablog.jasmeenmaradeeya.me·Nov 21, 2024Understanding Statistics and Its ApplicationsStatistics is all about working with data. It involves collecting, organizing, analyzing, interpreting, and presenting information in a way that makes sense. In simple terms, statistics helps us make sense of the numbers around us. Why Is Statistics ...Statistics For Machine LeaningMachine Learning
