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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-applied-machine-learning/
课程评论：没有评论
课程名称：应用高级机器学习在Python中 课程概述：本课程将带您进行深入的高级机器学习算法实践教程，包括GBM、AdaBoost技术、XGBoost等。您将从机器学习的基本概念开始，逐步过渡到实际应用，涵盖所有机器学习模型和算法的详细概念，从基础到高级，学习如何在真实数据集上构建机器学习模型，并进行模型的精细调优以提高准确性和预测能力。课程还将解释各种机器学习模型的参数、模型构建的步骤及相关术语，并提供使用Excel、Python和R语言进行机器学习的方法。您还将了解机器学习从业者的薪资结构及角色，如何使用高级技术提高准确性，重要的模型评估指标以及重要资源。 本课程强调实践性，帮助您应对进入数据科学和机器学习领域的最大挑战：将所有必要资源整合在一个地方，并学习雇主所需的最新趋势和实际技能。通过构建实际项目，您将获得可展示的项目组合和代码工作簿，助您在求职中脱颖而出。 课程内容将涵盖： - 机器学习的详细理解 - 机器学习模型构建的一般方法 - 高级机器学习模型的概述 - 梯度提升技术的基本原理 - GBM的实践教程 - AdaBoost的简介及其在Python中的应用 - XGBoost的概述及多部分实践 课程结束后，您将成为一名合格的数据科学家，掌握构建专业项目的技能。无论您是编程新手，还是希望提升数据科学技能，亦或来自不同行业，本课程都将帮助您从零基础成长为能够独立构建高级模型的专家。机器学习在商业营销、金融、医疗、网络安全、零售、交通运输、农业等多个领域有着广泛应用，而您在本课程中获得的技能将为您的职业生涯提供更多选择。 通过课程，您将了解人工神经网络和人工智能（AI）的基本概念，并能够在实际应用中得心应手。
Learn the hands-on tutorial on Advance Machine Learning Algorithms like GBM, AddaBoosting techniques, XGBoost, and many more.This Course Will Give You A Precise Approach To Machine Learning:Starting From What Is Machine Learning To Practical ImplementationCovers Detailed Concept Of All ML Models & Algorithms-Basic To Adv.How To Build Your ML Models On Real Data Set.Fine-tuning Of The Models For Better Accuracy & Prediction.Understanding The Parameters Of All Kinds Of ML Models.Steps Involved In ML Model Building & Important Terms.Machine Learning In MS Excel, Python & R Prog. Lang.Salary Structure And Role Of ML Practitioner.How To Improve Accuracy Using Advance Techniques.Important Model Evaluation Metrics & Important ResourcesLearn the Applied Data Science and Machine Learning, get hired and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).This comprehensive and project-based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real-world projects to add to your portfolio. You will get access to all the code, workbooks, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on-the-job skills that employers want.The curriculum is going to be very hands-on as we walk you from start to finish about becoming a professional Machine Learning and Data Science engineer. The topics covered in this course are:Let's Understand Machine Learning In DetailsEverything You Need To Know About ML Before Getting StartedGeneral Approach To All ML Model BuildingOverview To Advance ML ModelsFacts About Adv ML Models Fundamentals About Gradient Boosting TechniqueHands On Tutorial- GBM With PythonIntro To AddaBoost AddaBoost Working Principle AddaBoost With Python XGBoost Overview, Intro XGBoost Parameters XGBoost With Python-Part 1 XGBoost With Python-Part 2 XGBoost With Python-Part 3 XGBoost Conclusion By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects. By the end, you will have a stack of projects you have built that you can show off to others.Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real-life machine learning problems.Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from a beginner in Data Science experience to someone that can go off to advance model building.Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean!
