Old Search System: Machine Learning with Jupyter Notebooks in Amazon




  • GCP - Machine Learning with Google Cloud (Vertex AI)

    Published 12/2022Created by Ankit Mistry,GCP Certification - Google Cloud Academy | Associate Cloud & Professional...


    How to use Google Cloud Prebuilt Model for Generic ML uses case - vision, language, speech How to access Vision API, Language API & Speech - Text API Learn How to Throw your data for Training on Auto ML - Machine Learning Algorithm Use Google Cloud Infrastructure for Scalability on...


  • Machine Learning with Python: Logistic Regression

    Machine Learning with Python: Logistic Regression https://www.linkedin.com/learning/machine-learning-with-python-logistic-regression


    Are you looking for a practical way to use machine learning to solve complex real-world problems? Logistic regression is an approach to supervised machine learning that models selected values to predict possible outcomes. In this course, Notre Dame professor Frederick Nwanganga provides you with a step-by-step guide on how to...


  • Machine Learning with Python: Association Rules

    Machine Learning with Python: Association Rules https://www.linkedin.com/learning/machine-learning-with-python-association-rules


    Join instructor Frederick Nwanganga as he introduces a practical, easy-to-understand approach to using machine learning to solve real-world problems and provides step-by-step guidance on how to do this in Python. Frederick focuses specifically on association rules and how you can apply them for market basket analysis. He explains what association...


  • Machine Learning with Python Basics (For Beginners)

    Machine Learning with Python Basics (For Beginners) https://www.udemy.com/course/machine-learning-with-python-basics-for-beginners/ Learn the Basics of Machine Learning with...


    Steps of Machine Learning that you Will learn: Import the data. Split data into Training & Test. Create a Model. Train The Model. Make Predictions. Evaluate and improve. Machine Learning Course Contents: What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised). Linear Regression with One Variable. Linear...


  • Applied Machine Learning With Python

    Applied Machine Learning With Python https://www.udemy.com/course/applied-machine-learning-with-python/ Interested in the field of Machine Learning? Then this...


    This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 -...


  • Unity Machine Learning With Python!

    Unity Machine Learning With Python! https://www.udemy.com/course/unity-machine-learning-with-python/ Build a Unity game that uses artificial intelligence to...


    What you\'ll learn
    Learn to code for game development in Unity C#
    Learn to make game elements behave like real-life beings
    Train an artificial brain to make a game work
    Requirements
    Install Python (free)
    Install Unity 2017.3.0f3 or higher (free)
    A beginner\'s familiarity with C# programming is recommended
    Beginner knowledge on how to use a command line tool...


  • Machine Learning with Python - 2022

    Machine Learning with Python - 2022 https://www.udemy.com/course/machine-learning-with-python-2022/ K-NN, Linear Regression, SVM, K Means Clustering and...


    What you'll learn: You will learn data science, pattern recognition and machine learning all using Python. Have a great intuition of many Machine Learning models Implement popular Machine Learning Algorithms such as KNN, SVM, Linear Regression, K Means Clustering and Decision Tree Know which Machine Learning model to choose for...


  • Machine Learning with Python: Decision Trees

    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...


    Discover the power of decision trees, what they are, how they are built, and how they quantify impurity within a partition. Get tips from Frederick on building, visualizing, pruning, and using a decision tree in Python including classification trees and regression trees. By the end of this course, you'll be...


  • The Introduction of AI and Machine Learning with Python

    The Introduction of AI and Machine Learning with Python https://www.udemy.com/course/the-introduction-of-ai-and-machine-learning-with-python Learn Data Science, Machine Learning...


    What you'll learn: Define and understand the meaning of AI and machine learning and explore their applications Handling Data Frames by learning various tasks including (data exploration, visualization and cleaning) Understand and create various Supervised Learning algorithms Understand and create various Unsupervised Learning algorithms Understand and build recommendation systems Understand...


  • Machine Learning with Data Reduction in Excel, R, and Power BI

    Machine Learning with Data Reduction in Excel, R, and Power BI https://www.linkedin.com/learning/machine-learning-with-data-reduction-in-excel-r-and-power-bi Analytics is a...


    Learn about machine learning models like clusters and anomaly detection algorithms. Find out more about distance, dimensionality, and granularity, as you explore dimensional and numerical data reduction techniques, analytic models, and visualization tools in Excel, R, and Power BI. Along the way, get tips on how to integrate your methods...


  • Machine Learning with Python for Everyone

    Machine Learning with Python for Everyoneby Mark Fenner English | 2020 | ISBN: 0134845625 |...






  • Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

    Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production by...






  • Machine Learning With Tensorflow: A Deeper Look At Machine Learning With TensorFlow

    Machine Learning With Tensorflow: A Deeper Look At Machine Learning With TensorFlowEnglish | April 1,...


    Thanks to its capability, in recent times TensorFlow definitely has made its way into the software mainstream, so everyone who is interested in machine learnings definitely should considers getting hands on TensorFlow practices.
    With this book as your guide, you will get your hands on TensorFlow machine learning techniques, learn...


  • Machine Learning with Hands-On Examples

    Machine Learning with Hands-On Examples MP4 | h264, 1280x720 | Lang: English | Audio: aac,...


    What you\'ll learn Learn Machine Learning with Hands-On Examples What is Machine Learning? Machine Learning Terminology Evaluation Metrics What are Classification vs Regression? Evaluating Performance-Classification Error Metrics Evaluating Performance-Regression Error Metrics Supervised Learning Cross Validation and Bias Variance Trade-Off Use matplotlib and seaborn for data visualizations Machine Learning with SciKit...


  • Creative Machine Learning with 3 Neural Network Projects

    Creative Machine Learning with 3 Neural Network Projects Genre: eLearning | MP4 | Video: h264,...


    What you\'ll learn Machine Learning Neural Networks Artificial Intelligence Requirements No experience necessary Description AI is omnipresent in our modern world. It is in your phone, in your laptop, in your car, in your fridge, and other devices you would not dare to think of. After thousands of years of...


  • Lynda - Machine Learning with ML.NET

    Lynda - Machine Learning with ML.NEThttps://www.lynda.com/NET-tutorials/Machine-Learning-ML-NET/2874220-2.htmlWelcome to Machine Learning with ML.NET. In this course, instructor...





  • Machine Learning with Imbalanced Data

    Machine Learning with Imbalanced Data MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz,...


    Learn multiple techniques to tackle data imbalance and improve the performance of your machine learning models. What you\'ll learn: Under-sampling methods at random Under-sampling methods which focus on observations that are harder to classify Under-sampling methods that ignore potentially noisy observations Over-sampling methods to increase the number of minority observations...


  • Oreilly - Hands-On Machine Learning with Python and Scikit-Learn

    Oreilly - Hands-On Machine Learning with Python and Scikit-Learn by Taylor Smith | Released March...


    Understand and implement the best Machine Learning practices with the help of powerful features of Python and scikit-learnAbout This VideoDeep dive into Machine Learning using the most advanced tools and the Scikit library.Develop complex pipelines and process data through manipulation, extraction, and data-cleansing techniques.Clean coding techniques and best practices in...


  • Oreilly - Hands-On Machine Learning with Scala and Spark

    Oreilly - Hands-On Machine Learning with Scala and Spark by Tomasz Lelek | Released January...


    Implement machine learning algorithms and evaluate how well they perform with the Scala programming language About This VideoLearn how to extract ML features from unstructured data for input to ML models so you can build models for any input dataLeverage Spark's Powerful ML toolkit to build models by learning how...


  • Oreilly - Hilary Mason: An Introduction to Machine Learning with Web Data

    Oreilly - Hilary Mason: An Introduction to Machine Learning with Web Data by | Released...


    Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from...