Identifying Patterns Notes for Class 10 DS covering Bias, Identifying Bias, Types of Bias, Probability for Statistics, and the Central Limit Theorem with clear concepts and practical examples. What is Partiality, Preference and Prejudice (Bias)? What is Bias? Why Does Bias Occur? Why Does Bias Matter? How to Identify Partiality, Preference and Prejudice (Bias)? Selection…
Disitribution in Data Science Notes curated for Class 10 DS includes Uniform Distribution, Types of Distribution, Statistical Problem Solving Process and its components for quick learning and high score. Distribution in Data Science Example 1: Tossing One Coin Outcome Probability Head (H) 0.5 Tail (T) 0.5 Uniform Distribution Example 2: Tossing Two Coins Outcome Probability…
Use of Statistics in Data Science Notes for Class 10 DS covering subsets, two-way frequency tables, mean, median, MAD, and standard deviation for easy learning and quick revision. What are Subsets? How do we Subset the Data? Row-based Subsetting Column-based Subsetting Data-based Subsetting Two-Way Frequency Table Chocolate Survey Example Consider the following table, which contains…