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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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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