Machine learning python Study guides, Class notes & Summaries
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Cheatsheets for Data Mining and Machine Learning courses
- Summary • 4 pages • 2024
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The file contains cheatsheet materials for two M.Sc. DSS core courses, Data Mining for Business & Gov. (880022-M-6) and Machine Learning (880083-M-6). Both cheatsheets have been tested on multiple mock exams as well as used successfully in the actual exams. 
Includes python codes for Machine Learning. Some information overlaps due to it being covered in both courses.
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Test Bank for Intro to Python for Computer Science and Data Science-Learning to Program with AI, Big Data and The Cloud 1Ed. by Paul Deitel, Harvey Deitel- Elaborated and Complete
- Exam (elaborations) • 340 pages • 2023 Popular
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Test Bank for Intro to Python for Computer Science and Data Science-Learning to Program with AI, Big Data and The Cloud 1Ed. by Paul Deitel, Harvey Deitel- Elaborated and Complete 
 
 
ISBN-10 3 
ISBN-13 978-6 
 
 
PART 1 
 
 CS: Python Fundamentals Quickstart 
 CS 1. Introduction to Computers and Python 
 DS Intro: AI–at the Intersection of CS and DS 
 CS 2. Introduction to Python Programming 
 DS Intro: Basic Descriptive Stats 
 CS 3. Control Statements and Program Developm...
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Databricks ML Associate Latest Update Graded A+
- Exam (elaborations) • 24 pages • 2024
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Databricks ML Associate Latest Update 
 
Graded A+ 
 
Driver Nodes vs Worker Nodes A cluster consists of one driver node and zero or more 
worker nodes. 
Databricks worker nodes run the Spark executors and other services required for proper 
functioning clusters. 
The driver node maintains state information of all notebooks attached to the cluster. 
 
Describe Standard Clusters - Now called "No Isolation Shared" clusters 
 
- Admins can prevent creating or starting this cluster type by enforci...
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Introduction to Machine Learning with Python
- Exam (elaborations) • 392 pages • 2023
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Introduction to 
Machine 
Learning 
with Python
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Tools For Data Science (Course 2) with 100% correct answers
- Exam (elaborations) • 20 pages • 2024
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Which of the following statements is true? 
a. Keras, Scikit-learn, Matplotlib, Pandas, and TensorFlow are all built with Python. 
 
b. 80% of data scientists worldwide use Python. 
 
c. Python is the most popular language in data science. 
 
d. Python is useful for AI, machine learning, web development, and IoT. 
 
e. All of the above 
e. All of the above 
 
 
 
Which of the following are SQL databases? (Select all that apply.) 
a. MongoDB 
b. MariaDB 
c. MySQL 
d. PostgreSQL 
e. CouchDB 
f. Or...
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The Data Analytics Journey, D204 Questions and Answers with complete solution
- Exam (elaborations) • 109 pages • 2023
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Business Understanding (order) - 1st in Data Analytics Lifecycle 
Data Acquisition (order) - 2nd in Data Analytics Lifecycle 
Data Cleaning (order) - 3rd in Data Analytics Lifecycle 
Data Exploration (order) - 4th in Data Analytics Lifecycle 
Predictive Modeling (order) - 5th in Data Analytics Lifecycle 
Data Mining/Machine Learning (order) - 6th in Data Analytics Lifecycle 
Reporting and Visualization (order) - 7th in Data Analytics Lifecycle 
Business Understanding - - Also known as the discov...
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DS 102: Data Science Tools Module Quizzes with verified solutions
- Exam (elaborations) • 12 pages • 2024
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Which of the following statements is true? 
a. Keras, Scikit-learn, Matplotlib, Pandas, and TensorFlow are all built with Python. 
 
b. 80% of data scientists worldwide use Python. 
 
c. Python is the most popular language in data science. 
 
d. Python is useful for AI, machine learning, web development, and IoT. 
 
e. All of the above 
e. All of the above 
 
 
 
Which of the following are SQL databases? (Select all that apply.) 
a. MongoDB 
b. MariaDB 
c. MySQL 
d. PostgreSQL 
e. CouchDB 
f. Or...
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Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python
- Summary • 103 pages • 2023
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Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python. 
Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python
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D204 Data Analytics questions and answers.
- Exam (elaborations) • 23 pages • 2023
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Lack of Organization and Lack of Sponsor Support 
What are some of the main reasons that projects fail? 
 
 
 
Hacking Skills, Math and Statistics, and Domain Expertise 
What is the Venn Diagram for Data Science? 
 
 
 
Discovery 
Define Goals, Ask Questions, Develop a Problem Statement, Organize Resources 
 
 
 
Data Acquisition 
Gather Data through API's, Open Data, Passive Data, and internal/external sources 
 
 
 
Data Exploration 
Make Visualizations, Summaries, Re-categorize cases, combin...
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Data Science Practice Real Exam Question And Answers Latest Update
- Exam (elaborations) • 19 pages • 2024
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What is Data Science? Also, list the differences between supervised and 
unsupervised learning. - ANS>Data Science is a blend of various tools, algorithms, 
and machine learning principles with the goal to discover hidden patterns from the 
raw data. How is this different from what statisticians have been doing for years? 
" 
What are the important skills to have in Python with regard to data analysis? - 
ANS>The following are some of the important skills to possess which will come 
handy...
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