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Descriptive Statistics vs Inferential Statistics
access_time 1738428840000 face Nerchuko
Descriptive Statistics vs Inferential Statistics Understanding the two fundamental branches of statistical analysis and their applications. March 12, 2025 The Two Pillars of Statistical Analysis Statistics serves as the backbone of data analysis across numerous fields, from scientific research to bu...
Day 19: Understanding Data Imbalance: Real-World Examples & Solutions
access_time 2025-01-22T13:41:03.289Z face Nerchuko
Understanding Data Imbalance: Real-World Examples & Solutions Why Balance Matters in Machine Learning What is Data Imbalance? ๐ค Imagine you're training a system to identify rare events or conditions - like fraud detection in banking. In a typical month: Normal Transactions 99,900 โ
(99.9%) Fraudule...
Day 18: Why SQL is Crucial for Data Science Jobs
access_time 2025-01-22T13:24:46.033Z face Nerchuko
SQL in Action: Real-World Examples for Beginners Learn SQL Through Everyday Scenarios 1. Finding Top Products on Amazon ๐๏ธ Want to know which products are bestsellers? Here's how: SELECT product_name, price, total_sales, rating FROM products WHERE rating >= 4.0 ORDER BY total_sales DESC LIMIT 5; Th...
Day 17: EDA Like a Pro - The Movie Data Story
access_time 2025-01-16T17:03:57.939Z face Nerchuko
Day 17: EDA Like a Pro - The Movie Data Story Exploring Box Office Data Like a Film Director Plans Their Shot January 16, 2025 The Pre-Production of Data Analysis Just like how a director meticulously plans every aspect of a movie before shooting - from location scouting to costume design - data sci...
Day 16: Decoding P-Values Through Box Office Analysis
access_time 2025-01-16T17:02:02.707Z face Nerchuko
Day 16: Decoding P-Values Through Box Office Analysis Where Data Science Meets Movie Magic January 16, 2025 Luck vs. Strategy: The Box Office Question Is a movie's success just luck? Do viral Instagram posts happen by chance? When YouTube views skyrocket, is it strategy or fortune? Let's decode this...