Scikit learn - Study guides, Class notes & Summaries

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Data Science Full Course Notes 2024 - Learn Data Science in Easy way
  • Data Science Full Course Notes 2024 - Learn Data Science in Easy way

  • Class notes • 121 pages • 2024
  • Available in package deal
  • Data Science Full Course Notes - Learn Data Science in 1 Notebook table of contents 1. Basic Terminologies and Importance in Statistics 2. Different Sampling Techniques 3. Measures of Central Tendency: Mean, Median, Mode 4. Measures of Variability: Range, Interquartile Range, Variance, Covariance, Standard Deviation 5. Information Gain and Entropy 6. Statistics and Probability: Interconnected Fields 7. Probability: Measure of Event Likelihood 8. Random Experiment, Sample Space, and Ev...
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Summary -  Python 101
  • Summary - Python 101

  • Summary • 9 pages • 2024
  • The document provides an overview of Python, emphasizing its popularity and unique features that make it suitable for both beginners and advanced users. Here are the main points covered: ### Introduction to Python - **Popularity**: Python is described as a popular and fast-growing programming language. - **Simplicity and Readability**: It is highlighted for its clean syntax, making it easy to learn and use. ### Unique Features of Python 1. **Easy to Learn**: Python’s syntax is clean a...
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Beginners guide to Data Science.
  • Beginners guide to Data Science.

  • Class notes • 3 pages • 2024
  • Introduction to Data Science Using Python is a beginner-friendly guide designed to help readers understand essential data science concepts with a Python focus. This document covers data cleaning, data wrangling, exploratory data analysis, and visualization using libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn. With step-by-step instructions and practical code examples, it’s an ideal resource for mastering Python-based data science fundamentals and gaining skills for real-world appl...
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Introduction to Machine Learning: Concepts, Techniques, and Applications
  • Introduction to Machine Learning: Concepts, Techniques, and Applications

  • Summary • 2 pages • 2024
  • Available in package deal
  • Dive into the world of Machine Learning (ML) with this comprehensive introductory course designed to equip you with the fundamental concepts, techniques, and practical applications of ML. This course is tailored for beginners with a keen interest in understanding how machines can learn from data and make intelligent decisions. You will explore key ML paradigms, including supervised learning, unsupervised learning, and reinforcement learning. Gain hands-on experience with popular ML algorithms...
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All Basics Of CS50
  • All Basics Of CS50

  • Class notes • 145 pages • 2024
  • "CS50" is an introductory computer science course at Harvard University, designed to provide students with a comprehensive understanding of computer science and programming concepts. Below is an in-depth description of CS50, covering various aspects of the course: Course Overview: Name: CS50: Introduction to Computer Science Institution: Harvard University Duration: Typically runs for a semester Course Content: CS50 covers a wide range of computer science topics, starting from the ...
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machine learning
  • machine learning

  • Class notes • 9 pages • 2024
  • Year Major SubjectCode Unit Chapter Section QuestionType BTLevel COs DifficultyLevel Question Mark 2021 BIT 19ITEN2007 1 1 A Descriptive Remember CO1 Easy Define Machine Learning and List the real-life applications of ML algorithms 2 2021 BIT 19ITEN2007 1 1 A Descriptive Understanding CO1 Moderate Mention two methods by which we can replace NaN values from the Dataframe in Pandas. 2 2021 BIT 19ITEN2007 1 1 A Descriptive Understanding CO1 Easy Differentiate between supervised and unsupervised ...
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Final report Fake News Detector 2021
  • Final report Fake News Detector 2021

  • Thesis • 45 pages • 2023
  • The quick spread of fake news and its great prevalence at social media has led to serious worry according to its capability to rise a great harm to the users of social media and its negative effect on their patriotism. Many different machine learning techniques have been tried to detect fake news at different social media platforms. the presented report conducts analytics to detect fake news at Twitter social media platform, utilizing tools such as Python scikit-Learn and Stanford NLP Text Anal...
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"Python: A Beginner-Friendly, Versatile, and Powerful Programming Language"
  • "Python: A Beginner-Friendly, Versatile, and Powerful Programming Language"

  • Summary • 1 pages • 2024
  • The document is an introduction to Python, a popular and rapidly growing programming language known for its simplicity and readability. It highlights Python's unique features, such as its clean and easy-to-learn syntax, versatility across various applications (including web development, data analysis, and scientific computing), and its open-source nature, which makes it free to use and supported by a large and active community of developers. The document also discusses the wide range of appl...
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Python
  • Python

  • Class notes • 1 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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Final Project Report Fake News Detection with AI 2020
  • Final Project Report Fake News Detection with AI 2020

  • Thesis • 32 pages • 2023
  • This graduation report on fake news detection is an impressive accomplishment in the field of machine learning. The report covers a wide range of topics, from the introduction to the conclusion, providing a thorough analysis of fake news detection and the methodology used to create a model that can classify fake news as true or false with an accuracy of more than 75%. The report uses various tools like python scikit-learn, Stanford NLP for textual analysis to create the model and also impleme...
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