knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual.....
Data Science and Machine Learning with Python - Hands On!Frank Kane
$ mkdir -p $ML_PATH 接下来是创建你自己的Python环境,本书中作者推荐Python3 虽然Python2.7+也可以,但是作者认为它已经过时了。 你需要的工作Python Modules: Jupyter, NumPy, Pandas, Matplotlib, and Scikit-Learn 关于Python环境的安装,在作者github首页有介绍: https://github.com/ageron/handson-ml/tree/ma...
基本Python 库(NumPy、Pandas、Matplotlib、Seaborn、Scikit-learn) 要求 无需经验 描述 您准备好使用 Python 释放机器学习的强大功能了吗?这门综合课程旨在让您掌握构建可以解决实际问题的预测模型的基本技能。从初学者到专家,我们将指导您完成整个机器学习过程,从 Python 编程的基础知识开始。您将学习如何:准备和清理数...
Genre: eLearning | Language: English | Duration: 39 Lectures ( 3h 4m ) | Size: 2.2 GB Master Machine Learning with Python: Build, Train & Deploy Models with Real-World Projects What you’ll learn: Implement Machine Learning algorithms in Python using libraries like scikit-learn and TensorFlow...
Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga August 21, 2024 12 min read 3 AI Use Cases (That Are Not a Chatbot) Machine Learning ...
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits Copyright © 2020 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publ...
Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits是Tarek Amr创作的计算机网络类小说,QQ阅读提供Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits部分章节免费在线阅读,此外还提供Hands-On Machine Learning wit
Are you ready to unlock the power of machine learning with Python? This comprehensive course is designed to equip you with the essential skills to build predictive models that can solve real-world problems.From beginner to expert, we’ll guide you through the entire machine learning process, sta...
Chapter 1, Introduction to Machine Learning, will introduce you to the different machine learning paradigms, using examples from industry. You will also learn how to use data to evaluate the models you build. Chapter 2, Making Decisions with Trees, will explain how decision trees work and teach...