Scikit learn - Study guides, Class notes & Summaries

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Tools For Data Science (Course 2) with correct answers latest 2023
  • Tools For Data Science (Course 2) with correct answers latest 2023

  • Exam (elaborations) • 14 pages • 2023
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  • Tools For Data Science (Course 2) with correct answers latest 2023Which 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.) ...
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Machine Learning Exam  with perfect answers 2024
  • Machine Learning Exam with perfect answers 2024

  • Exam (elaborations) • 4 pages • 2024
  • What is machine learning? correct answers Creating and using models that are learned from data; The science and art of programming computers so they can learn from data What is supervised learning? correct answers the task of inferring a function from labeled training data. Learn by example. What is unsupervised learning? correct answers involves inferring the patterns within datasets without reference to known, or labeled, outcomes. Ex. Clustering What is the difference between ...
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DS 102: Data Science Tools Module Quizzes correctly answered 2023
  • DS 102: Data Science Tools Module Quizzes correctly answered 2023

  • Exam (elaborations) • 8 pages • 2023
  • Available in package deal
  • DS 102: Data Science Tools Module Quizzes correctly answered 2023Which 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...
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Tools For Data Science Questions & Answers | 75 Questions with 100% Correct Answers | Updated & Verified
  • Tools For Data Science Questions & Answers | 75 Questions with 100% Correct Answers | Updated & Verified

  • Exam (elaborations) • 21 pages • 2022
  • 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. Oracle - MariaD...
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DS 102: Data Science Tools Module Quizzes | 55 Questions with 100% Correct Answers | Updated & Verified
  • DS 102: Data Science Tools Module Quizzes | 55 Questions with 100% Correct Answers | Updated & Verified

  • Exam (elaborations) • 12 pages • 2022
  • 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. Oracle - MariaD...
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UNIVERSITY OF MICHIGAN Department of Electrical Engineering and Computer Science EECS 445 Introduction to Machine Learning Winter 2019 Homework 4. Questions and Solutions.
  • UNIVERSITY OF MICHIGAN Department of Electrical Engineering and Computer Science EECS 445 Introduction to Machine Learning Winter 2019 Homework 4. Questions and Solutions.

  • Exam (elaborations) • 18 pages • 2023
  • EECS 445, Winter 2019 – Homework 4, Due: Tue. 04/16 at 11:59pm 1 UNIVERSITY OF MICHIGAN Department of Electrical Engineering and Computer Science EECS 445 Introduction to Machine Learning Winter 2019 Homework 4, Due: Tue. 04/16 at 11:59pm Submission: Please upload your completed assignment by 11:59pm ET on Tuesday, April 16 to Gradescope. Include all code as an appendix following your write-up. 1 Expectation Maximization [15 pts] Suppose we have three cities A, B and C each with a probability ...
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WGU D204 The Data Analytics Journey Questions & Answers Graded A+
  • WGU D204 The Data Analytics Journey Questions & Answers Graded A+

  • Exam (elaborations) • 110 pages • 2023
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  • Business Understanding (order) - Answer 1st in Data Analytics Lifecycle Data Acquisition (order) - Answer 2nd in Data Analytics Lifecycle Data Cleaning (order) - Answer 3rd in Data Analytics Lifecycle Data Exploration (order) - Answer 4th in Data Analytics Lifecycle Predictive Modeling (order) - Answer 5th in Data Analytics Lifecycle Data Mining/Machine Learning (order) - Answer 6th in Data Analytics Lifecycle Reporting and Visualization (order) - Answer 7th in Data Analytics L...
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JADS Premaster - Introduction to Machine Learning Summary JADS Premaster - Introduction to Machine Learning Summary
  • JADS Premaster - Introduction to Machine Learning Summary

  • Summary • 23 pages • 2021
  • Summary for the Introduction to Machine Learning course of the Premaster Data Science and Entrepreneurship.
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Low-Code AI
  • Low-Code AI

  • Presentation • 312 pages • 2024
  • "Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loa...
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Python
  • Python

  • Class notes • 143 pages • 2024
  • Introduction to Python Python is a popular and fast-growing programming language. It is known for its simplicity and readability, which makes it a great language for beginners to learn. Unique Features of Python Python has several unique features that contribute to its popularity: Easy to learn: Python has a clean syntax that is easy to read and write, making it a great language for beginners. Versatile: Python can be used for a variety of applications, including web development, data a...
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