Old Search System: Machine Learning with Jupyter Notebooks in Amazon




  • Machine Learning with Python: Unlocking AI Potential with Python and Machine Learning

    Machine Learning with Python: A Practical Beginners' Guideby Oliver TheobaldEnglish | 2024 | ISBN: 9781835461969...


    The course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper. It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to understand and prepare your data for modeling....


  • Lean ML: Beginner\'s Guide to Machine Learning with Python

    https://www.udemy.com/course/lean-ml-beginners-guide-to-machine-learning-with-python/ The easiest way to learn machine learning without going back to college.


    Master the fundamentals of machine learning with ease! Whether you\'re coming from a background in mobile and web development, business analysis, engineering, or a university student, your journey into this exciting and complex field starts with learning the fundamentals. In this online video course, I will teach you the basics...


  • Projects And Case Studies On Machine Learning With Python

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.91...


    What you\'ll learn
    You will learn how to use data science and machine learning with Python.
    You will be able to analyze your own data sets and gain insights through data science.
    Master critical data science skills.
    Replicate real-world situations and data reports.
    Requirements
    No prior knowledge of machine learning required
    Basic knowledge of Python
    Description
    There are lots...


  • Machine Learning With Python

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.71...


    What you\'ll learn
    learn how to use data science and machine learning with Python.
    Understand Machine Learning from top to bottom.
    Learn NumPy for numerical processing with Python.
    Create supervised machine learning algorithms to predict classes.
    Requirements
    No prior knowledge of machine learning required. Basic knowledge of Python
    Description
    Machine learning is a subfield of computer science stemming...


  • Machine Learning with Apache Spark 3.0 using Scala

    https://www.udemy.com/course/machine-learning-with-apache-spark-3-using-scala/Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects


    What you'll learn
    Fundamental knowledge on Machine Learning with Apache Spark using Scala
    Learn and master the art of Machine Learning through hands-on projects, and then execute them up to run on Databricks cloud computing services
    You will Build Apache Spark Machine Learning Projects (Total 4 Projects)
    Explore Apache Spark and Machine Learning on...


  • Be A Data Scientist In 2024: Machine Learning With Python

    Published 1/2024https://www.udemy.com/course/be-a-data-scientist-in-2024-machine-learning-with-python/ Practical Data Science Skills, Python, Real-World Machine Learning, Predictive Modeling, Project-Based Learning


    What you\'ll learn
    Define the roles of Data Scientist
    Model and interpret a complete machine learning project on python
    Be able to answer most-asked Data Scientist interview questions
    Explain the logic and all the fundamentals about Machine Learning algorithms
    Requirements
    No Machine Learning experience needed
    High school level algebra
    Very basic understanding about some programming terms (what is...


  • Practical Ai And Machine Learning With Model Builder Automl

    https://www.udemy.com/course/practical-ai-and-machine-learning-with-model-builder-automl/ Master machine learning by doing it in practice, using an automated machine learning GUI...


    In this course, you will get to understand the foundational concepts that underlie the supervised machine-learning process. You will get to understand complex topics such as: Exploratory Data Analysis, Data Transformation and Feature Scaling, Evaluation Metrics, Algorithms, trainers, and models, Underfitting and Overfitting, Cross-validation, Regularization, and much more You will...


  • Machine Learning with Python: A Mathematical Perspective

    https://www.udemy.com/course/machine-learning-with-python-a-mathematical-perspective/ Classification, Clustering, Regression Analysis


    Machine Learning: The three different types of machine learning, Introduction to the basic terminology and notations, A roadmap for building machine learning systems, Using Python for machine learning Training Simple Machine Learning Algorithms for Classification, Artificial neurons – a brief glimpse into the early history of machine learning, Implementing a...


  • Udemy - No-Code Machine Learning with Qlik AutoML

    Udemy - No-Code Machine Learning with Qlik AutoML Language: English (US) Learn Machine Learning Concepts,...


    This Qlik AutoML Course will help you to become a Machine Learning Expert and will enhance your skills by offering you comprehensive knowledge, and the required hands-on experience on this newly launched Cloud based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise. Top Reasons why...


  • Business Analytics and Machine Learning with R programming

    Business Analytics and Machine Learning with R programming Published 8/2023 Created by Batbayar Ragchaa MP4...


    What you'll learn Business Analytics R programming CRISP-DM(Cross-Industry Standard Process for Data Mining) Introduction to Statistics Requirements No programming experience needed. You will learn everything from scratch General Business Knowledge Description This course introduces techniques of Business Analytics to transform data into business intelligence and to use analytics to create...


  • Machine Learning with Python: Decision Trees

    https://www.linkedin.com/learning/machine-learning-with-python-decision-trees Decision trees are one of the most common approaches used in supervised machine learning....





  • Linkedin - Machine Learning with Scikit-Learn

    Released: 10/2020Duration: 43m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 136...


    The ability to apply machine learning algorithms is an important part of a data scientist's skill set. scikit-learn is a popular open-source Python library that offers user-friendly and efficient versions of common machine learning algorithms. In this course, data scientist Michael Galarnyk explains how to use scikit-learn for supervised and...


  • Introduction to Machine Learning with Python, 1st Edition

    English | 2023 | ISBN: ‎ 9815124439 | 139 pages | True PDF EPUB |...


    Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications, including fraud detection and prevention, self-driving cars, recommendation...


  • Python For Machine Learning With Solved Projects By Spotle

    Python For Machine Learning With Solved Projects By Spotle https://www.udemy.com/course/python-for-machine-learning-with-solved-projects-by-spotle/ This Spotle masterclass is for...


    What you'll learn
    Python fundamentals
    Handling numbers in Python
    Handling strings in Python
    Control flow in Python
    File handling in Python
    Modules and packages in Python
    Python libraries - numpy, pandas, matplotlib, scikit-learn etc
    Basic statistics and data visualization with Python
    Overview of machine learning
    Supervised machine learning
    Unsupervised machine learning
    Linear regression with Python
    Logistic regression with Python
    Decision tree with Python
    Regression tree...


  • Scaling Machine Learning with Spark Distributed ML with MLlib, TensorFlow, and PyTorch

    English | April 11th, 2023 | ISBN: 1098106822 | 291 pages | True EPUB |...


    Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals—allowing data and ML...


  • Scaling Machine Learning with Spark (Final Release)

    English | 2023 | ISBN: 9781098106812 | 291 pages | EPUB | 6.92 MB


    Get up to speed on Apache Spark, the popular ee for large-scale data processing, including machine learning and analytics. If you're looking to expand your skill set or advance your career in scalable machine learning with MLlib, distributed PyTorch, and distributed TensorFlow, this practical guide is for you. Using Spark...


  • Machine Learning with Python Cookbook, 2nd Edition (Fifth Early Release)

    English | 2022 | ISBN: 9781098135713 | 273 pages | True EPUB, MOBI | 3.93...


    This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models...


  • Data Science, Analytics and Machine Learning with R (True PDF)

    English | 2023 | ISBN: 012824271X | 621 pages | True PDF | 97.73 MB


    Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health,...


  • Distributed Machine Learning with Python Accelerating model training and serving with distributed systems

    English | 2022 | ISBN: 1801815690 | 284 pages | True PDF EPUB | 47...


    Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud Key Features Accelerate model training and interference with order-of-magnitude reduction Learn state-of-the-art parallel schemes for both model training and serving A detailed study of bottlenecks at...


  • Machine Learning with Python: k-Means Clustering

    https://www.linkedin.com/learning/machine-learning-with-python-k-means-clustering Clustering—an unsupervised machine learning approach used to group data based on similarity—is used for...