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Exam (elaborations)
Georgia Institute of Technology Students Final Quiz Industrial and Systems Engineering 6501x Courseware Examination Questions and Answers
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---47May 20262025/2026A+
- This study resource provides a structured set of final quiz questions and answers based on the Industrial and Systems Engineering 6501x course content from Georgia Institute of Technology. It is designed to support learners in reviewing key data science, statistical analysis, and computational modeling concepts used in industrial engineering and analytics. 
 
The material covers essential topics such as probability, statistics, regression analysis, data visualization, machine learning fundamenta...
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$13.99 More Info
mindvault
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Exam (elaborations)
WGU BACHELOR OF SCIENCE IN DATA SCIENCE | STATISTICS 
QUANTITATIVE METHODS AND DATA ANALYSIS EXAMINATION 
FINAL SEMESTER ASSESSMENT – STATISTICAL INFERENCE, PROBABILITY 
MODELS, AND RESEARCH DATA ANALYTICS 
ACADEMIC YEAR 2025/2026
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---24April 20262025/2026A+
- WGU BACHELOR OF SCIENCE IN DATA SCIENCE | STATISTICS 
QUANTITATIVE METHODS AND DATA ANALYSIS EXAMINATION 
FINAL SEMESTER ASSESSMENT – STATISTICAL INFERENCE, PROBABILITY 
MODELS, AND RESEARCH DATA ANALYTICS 
ACADEMIC YEAR 2025/2026
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$11.49 More Info
nexusmery
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Exam (elaborations)
TEST BANK FOR Business Intelligence, Analytics, Data Science, and Al, 5th Edition by Sharda, Delen, and Turban 

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---338April 20262025/2026A+
- The Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Sharda, Delen, and Turban is a valuable academic resource designed to enhance understanding of modern data-driven decision-making concepts. This test bank closely follows the structure and content of the textbook, offering a comprehensive collection of questions that cover essential topics such as business intelligence systems, data warehousing, data visualization, predictive analytics, machine learning, and...
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$21.99 More Info
TestBanksVault
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Exam (elaborations)
Instructor Solution Manual for Principles of Data Science
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---109February 20262025/2026A+
- What’s Included in DataScience_ISM 
The ISM covers all chapters (Ch01–Ch31) of OpenStax Principles of Data Science: 
 
Ch01 – Introduction to Data Science: Core concepts, datasets, and the data science process. 
 
Ch02 – Data Exploration & Descriptive Statistics: Visualizations, mean, median, mode, variance, and EDA techniques. 
 
Ch03 – Data Collection & Preprocessing: Data types, cleaning, normalization, and transformation. 
 
Ch04 – Data Wrangling & Cleaning: Handling missing data...
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$28.49 More Info
OpenStaxStudyHub
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Exam (elaborations)
Salesforce Data Architect Practice Exam Verified Questions, Correct Answers, and Detailed Explanations for Computer Science Students||Already Graded A+
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---27December 20252025/2026A+
- Salesforce Data Architect Practice Exam 
Verified Questions, Correct Answers, and 
Detailed Explanations for Computer Science 
Students||Already Graded A+
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$22.49 More Info
lewizranking
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Exam (elaborations)
Data Science Comprehensive Guide: 350 Key Q&A for Exam Preparation
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---53September 20252025/2026A+
- This document offers a precise and professional collection of 350 essential data science questions and answers. It is designed to help students and professionals deepen their understanding, prepare effectively for exams, and master key concepts across data analysis, machine learning, statistics, and practical applications. A perfect study companion for anyone aiming to excel in data science.
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$15.99 More Info
alexmurangiri
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Summary
Tensorflow Cheat sheet--Time Saving for Clarity
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--7August 20252025/2026Available in bundle
- 1. Introduction 
 
TensorFlow: Open-source ML library from Google Brain for deep learning and general computation. 
 
Scalability: Runs on CPUs, GPUs, TPUs, mobile devices. 
 
Flexibility: Supports deep learning, traditional ML, and general computations. 
 
Visualization: TensorBoard for debugging and performance tracking. 
 
Deployment: TensorFlow Serving, TensorFlow Lite, TensorF. 
 
2. Tensor Basics 
 
Tensors: Multi-dimensional arrays (scalars, vectors, matrices, higher-rank). 
 
Rank: Numbe...
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$3.49 More Info
c.7
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Summary
Data Science CheatSheet--Time Saving
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--5August 20252025/2026Available in bundle
- 1. Distributions 
 
Discrete: Binomial, Geometric, Negative Binomial, Hypergeometric, Poisson. 
 
Continuous: Uniform, Normal/Gaussian (Central Limit Theorem, Empirical Rule), Exponential, Gamma. 
 
2. Core Concepts 
 
Prediction Error = Bias² + Variance + Irreducible Noise. 
 
Bias-Variance Tradeoff: Underfitting vs. Overfitting. 
 
Model Types: Parametric vs. Non-Parametric. 
 
Cross Validation: k-fold, leave-p-out. 
 
3. Model Evaluation 
 
Regression: MSE, SSE, SST, R², Adjusted R². 
 
Cl...
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$3.49 More Info
c.7