Ultimate Machine Learning With Scikit Learn
DOWNLOAD
Download Ultimate Machine Learning With Scikit Learn PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ultimate Machine Learning With Scikit Learn book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Ultimate Machine Learning With Scikit Learn
DOWNLOAD
Author : Parag Saxena
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-05-06
Ultimate Machine Learning With Scikit Learn written by Parag Saxena and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Computers categories.
TAGLINE Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-Learn KEY FEATURES ● Comprehensive coverage of complete predictive modeling lifecycle, from data munging to deployment ● Gain insights into the theoretical foundations underlying powerful machine learning algorithms ● Master Python's versatile Scikit-Learn library for robust data analysis DESCRIPTION “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn. Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes. Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis. By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence. WHAT WILL YOU LEARN ● Master fundamental data preprocessing techniques tailored for both structured and unstructured data ● Develop predictive models utilizing a spectrum of methods including regression, classification, and clustering ● Tackle intricate data challenges by employing Support Vector Machines (SVMs), decision trees, and ensemble learning approaches ● Implement advanced anomaly detection methodologies and explore emerging techniques like neural networks ● Build efficient data pipelines optimized for handling big data and streaming analytics ● Solidify core machine learning principles through practical examples and illustrations WHO IS THIS BOOK FOR? This book is tailored for experienced and aspiring data scientists, machine learning engineers, and AI practitioners aiming to enhance their skills and create impactful solutions using Python and Scikit-Learn. Prior experience with Python and machine learning fundamentals is recommended. TABLE OF CONTENTS 1. Data Preprocessing with Linear Regression 2. Structured Data and Logistic Regression 3. Time-Series Data and Decision Trees 4. Unstructured Data Handling and Naive Bayes 5. Real-time Data Streams and K-Nearest Neighbors 6. Sparse Distributed Data and Support Vector Machines 7. Anomaly Detection and Isolation Forests 8. Stock Market Data and Ensemble Methods 9. Data Engineering and ML Pipelines for Advanced Analytics Index
Python Machine Learning
DOWNLOAD
Author : Ryan Turner
language : en
Publisher: Publishing Factory
Release Date : 2020-04-12
Python Machine Learning written by Ryan Turner and has been published by Publishing Factory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-12 with Computers categories.
Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems. As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies!
Machine Learning With Pytorch And Scikit Learn
DOWNLOAD
Author : Sebastian Raschka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-02-25
Machine Learning With Pytorch And Scikit Learn written by Sebastian Raschka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Python Machine Learning
DOWNLOAD
Author : Ryan Turner
language : en
Publisher: Publishing Factory
Release Date : 2020-04-18
Python Machine Learning written by Ryan Turner and has been published by Publishing Factory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-18 with Business & Economics categories.
Do you need a general purpose, high level programming language? Do you want something that which focuses on readability and has less lines of codes than other programming languages? This book is one that provides that! Python is one of the best machine learning concepts currently on the market and it has seen a spike in popularity, mainly due to its simplicity when it comes to working with machine learning algorithms. Inside the pages of Python Machine Learning: The Ultimate Intermediate Guide to Learn Python Machine Learning Step by Step Using Scikit-learn and Tensorflow you will find easy to understand information which is perfect for those who want to take the next steps in their programming journey and includes: - The principles surrounding Python - Different types of networks so you can choose what works best for you - Features of the system - Real world feature engineering - Understanding the techniques of semi-supervised learning - And much more… If you already have some basic knowledge of Python, the various programming models and functional programming it supports, then this intermediate guide is perfect for expanding your knowledge base. Get your copy of this amazing book today and increase your Python skills now!
Python Machine Learning
DOWNLOAD
Author : Oscar Elliot
language : en
Publisher: Oscar Elliot
Release Date : 2021-03-30
Python Machine Learning written by Oscar Elliot and has been published by Oscar Elliot this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with categories.
The world of machine learning is changing all the time. It is so amazing the idea that we are able to take a computer and let it learn as it goes. Without having to write out all of the codes that we need for every situation out there or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own. This guidebook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. When you are interested in learning more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you! Some of the topics that we will explore when we go through this guidebook will include: - Understanding some of the basics of machine learning; - Some of the different parts that you need to know to get started with machine learning and the Python language; - Understanding the Scikit-Learn library, and why it is so important to work with this type of library; - How to work with the K-Nearest Neighbors algorithm; - What are support vector machines, random forest algorithm, and recurrent neural networks; - What are linear classifiers; - How K-Means clustering is going to be different from KNN; - Other great things that you are able to do with Python Machine Learning. The field of machine learning is growing exponentially-and with the help of Python and all of the cool tools and libraries that come with it, you will find that there are endless possibilities of what you will be able to do with it. When you are ready to learn more about Python Machine Learning and when you want to be able to work towards your own projects and applications with this cool topic, make sure to check out this guidebook to help you get started! Scroll to the top of the page and select the buy now button!
Beginning With Machine Learning
DOWNLOAD
Author : Dr. Amit Dua
language : en
Publisher: BPB Publications
Release Date : 2022-12-12
Beginning With Machine Learning written by Dr. Amit Dua and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Computers categories.
A step-by-step guide to get started with Machine Learning KEY FEATURES ● Understand different types of Machine Learning like Supervised, Unsupervised, Semi-supervised, and Reinforcement learning. ● Learn how to implement Machine Learning algorithms effectively and efficiently. ● Get familiar with the various libraries & tools for Machine Learning. DESCRIPTION Should I choose supervised learning or reinforcement learning? Which algorithm is best suited for my application? How does deep learning advance the capacities of problem-solving? If you have found yourself asking these questions, this book is specially developed for you. The book will help readers understand the core concepts of machine learning and techniques to evaluate any machine learning model with ease. The book starts with the importance of machine learning by analyzing its impact on the global landscape. The book also covers Supervised and Unsupervised ML along with Reinforcement Learning. In subsequent chapters, the book explores these topics in even greater depth, evaluating the pros and cons of each and exploring important topics such as Bias-Variance Tradeoff, Clustering, and Dimensionality Reduction. The book also explains model evaluation techniques such as Cross-Validation and GridSearchCV. The book also features mind maps which help enhance the learning process by making it easier to learn and retain information. This book is a one-stop solution for covering basic ML concepts in detail and the perfect stepping stone to becoming an expert in ML and deep learning and even applying them to different professions. WHAT YOU WILL LEARN ● Understand important concepts to fully grasp the idea of supervised learning. ● Get familiar with the basics of unsupervised learning and some of its algorithms. ● Learn how to analyze the performance of your Machine Learning models. ● Explore the different methodologies of Reinforcement Learning. ● Learn how to implement different types of Neural networks. WHO THIS BOOK IS FOR This book is aimed at those who are new to machine learning and deep learning or want to extend their ML knowledge. Anyone looking to apply ML to data in their profession will benefit greatly from this book. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Supervised Learning 3. Unsupervised Learning 4. Model Evaluation 5. Reinforcement Learning 6. Neural Networking and Deep Learning 7. Appendix: Machine Learning Questions
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
DOWNLOAD
Author : Aurélien Géron
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-05
Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Computers categories.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Python Machine Learning For Beginners
DOWNLOAD
Author : Finn Sanders
language : en
Publisher: Roland Bind
Release Date : 2019-05-22
Python Machine Learning For Beginners written by Finn Sanders and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Computers categories.
Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!
Python Machine Learning
DOWNLOAD
Author : Railey Brandon
language : en
Publisher: Roland Bind
Release Date : 2019-04-25
Python Machine Learning written by Railey Brandon and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-25 with Computers categories.
★☆Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes?☆★ If you responded yes to any of the above questions, you have come to the right place. Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that. Machine learning and artificial intelligence have been used in different machines and applications to improve the user's experience. One can also use machine learning to make data analysis and predicting the output for some data sets easy. All you need to do is choose the right algorithm, train the model and test the model before you apply it on any real-world tool. It is that simple isn't it? ★★Apart from this, you will also learn more about★★ ♦ The Different Types Of Learning Algorithm That You Can Expect To Encounter ♦ The Numerous Applications Of Machine Learning And Deep Learning ♦ The Best Practices For Picking Up Neural Networks ♦ What Are The Best Languages And Libraries To Work With ♦ The Various Problems That You Can Solve With Machine Learning Algorithms ♦ And much more... Well, you can do it faster if you use Python. This language has made it easy for any user, even an amateur, to build a strong machine learning model since it has numerous directories and libraries that make it easy for one to build a model. Do you want to know how to build a machine learning model and a neural network? So, what are you waiting for? Grab a copy of this book now!
Learn Python
DOWNLOAD
Author : Zed Fast
language : en
Publisher: Independently Published
Release Date : 2019-12
Learn Python written by Zed Fast and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12 with categories.
If you want to learn machine learning algorithms from scratch then read more. Artificial Intelligence is everywhere. You are certainly using it every day. One of the popular applications of it is Machine Learning (ML), in which computers, software, and devices perform via cognition similarly to human brain. Machine learning is an important part of personal assistant like Siri, Alexa, Google Now or search engine results or traffic predictions and much more. With this book you will learn fundamentals of machine learning, the underlying challenges with example from open source data sets that you can easily access and get your hands dirty. You will learn: The most popular and widely used machine learning algorithms Fundamentals of machine learning used every day for thousands of algorithms The different stages to create training data set Scikit-Learn library to develop machine learning models using pictures and actual Python code The end to end process of creating and training Neural Network models using the TensorFlow Learn Python includes actual Python code that you can put to practical use. Even if you've never read anything about machine learning you will get a precise tutorial on how to start. Scroll up and buy now to start coding machine learning algorithms in just 4 weeks.