what is data science? 🔍 Key Components of Data Science: Data Collection – Gathering raw data from various sources (e.g., databases, web, sensors). Data Cleaning – Removing errors, inconsistencies, and missing values. Explo...
Feature Engineering 🎯 What is Feature Engineering in News Content? In the context of news content , feature engineering involves creating meaningful features from raw text data, such as articles, headlines, or reports. T...
Exploratory Data Analysis (EDA) 📰 What Is EDA in News Content? EDA in news content means exploring articles, headlines, or reports to: Understand themes and topics Identify trends over time Detect bias or sentiment Analyze keywords,...
Data Cleaning & Preprocessing 🧹 What is Data Cleaning Preprocessing ? It’s the process of preparing raw data so it can be analyzed or modeled . Messy data leads to misleading results—so this step is crucial! 🔧 Common Steps in Data...
Sampling Techniques 🎯 What is Sampling ? Sampling is the process of selecting a subset (sample) from a larger group ( population ) to make inferences about the whole. 🧪 Two Main Categories: 1. Probability Sampling – Ever...
Data Types & Structures 🔤 Data Types – The “kind” of data you're working with These are the basic building blocks of data. 📦 Common Data Types: Type Example Description Integer 5, -20, 0 Whole numbers Float 3.14, -0.99 Decim...
Calculus (for optimization) 🔍 What Is Optimization in Calculus? Optimization means finding the maximum or minimum value of a function—this could be minimizing cost, maximizing profit, or finding the lowest error in a machine lea...
Linear Algebra 📐 What is Linear Algebra ? Linear algebra is the branch of mathematics dealing with vectors , matrices , and linear transformations . It's essential for understanding systems of equations, transformat...
Inferential Statistics 🧪 What is Inferential Statistics ? Inferential statistics helps you make predictions or generalizations about a larger population based on a sample of data . It answers the question: "What can we infe...
Descriptive Analytics 📈 What is Descriptive Analytics ? Descriptive analytics is all about summarizing and understanding past data to answer the question: "What happened?" It involves collecting, organizing, and presenting...
Statistics & Probability : 🎲 Probability in Content Definition : Probability measures the likelihood that a particular event will occur. Applications : Gaming content : Calculating chances of winning or outcomes (e.g. rolling...
Quantum Fourier Transform (QFT) and its Applications Start writing here... Absolutely! Here’s a clear and structured explanation of the Quantum Fourier Transform (QFT) and its applications , ideal for teaching, presentations, or technical writing. Quant...