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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-data-science-methods-and-algorithms/
课程评论：没有评论
课程名称：高级数据科学方法与算法 概述： 欢迎来到“高级数据科学方法与算法”课程！数据科学正在全球范围内迅速扩展和发展。本课程旨在教授一系列实用的高级数据科学方法和算法，结合Pandas和Python，让学员了解如何在各个方面优化生活、商业和社会。本课程是一个四合一的主课程，内容涵盖高级回归、预测、分类、监督学习、Python 3、Pandas 2与3以及高级数据处理。 学习内容： - 高级回归与回归分析，包括先进的前馈神经网络和决策树回归集成模型（如XGBoost回归模型）。 - 高级分类及监督学习，使用先进的前馈神经网络和决策树分类器集成模型（如XGBoost分类器模型）。 - 精通Python 3编程语言及其在数据处理中的应用。 - 学习Pandas 2和3库，掌握强大的数据处理技巧。 - 深入了解高级数据科学理论、方法和最佳实践。 - 实战经验掌握Scikit-learn、Matplotlib、Seaborn等Python库的使用。 独特优势： - 本课程包括综合易懂的教学包，适合没有编程经验的学习者。 - 提供有关使用Anaconda Cloud Notebook的详细指导。 - 包含安装和设置Anaconda发行版的简易指南。 - 包含35小时的精编视频教程和完成课程后的证书。 适合对象： - 希望学习高级数据科学方法与算法的所有人。 - 渴望掌握Python编程并达到中级水平的学员。 - 想要为数据处理技能增光添彩的学习者。 - 寻求在大学水平学习高级数据科学和机器学习的学生。 本课程为希望深入理解高级回归、预测、Python、Pandas和数据处理的学习者提供了绝佳的学习机会，具备良好的数据处理技能将极大提升工作效率。立即报名，开启你的数据科学之旅！
Welcome to the course Advanced Data Science Methods and Algorithms with Pandas and Python!Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Algorithms to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Data Science methods and algorithms plus Pandas and Python. This course has exclusive content that will teach you many new things about methods and algorithms.This is a four-in-one master class video course which will teach you to advanced Regression, Prediction, Classification, Supervised Learning, Python 3, Pandas 2 + 3, and advanced Data Handling.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.You will learn to master the Python 3 programming language, which is one of the most popular and useful programming languages in the world, and you will learn to use it for Data Handling.You will learn to master the Pandas 2 and future 3 library and to use Pandas powerful Data Handling techniques for advanced Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language, and combined creates the world's most powerful coding environment for Advanced Data Handling…You will learnKnowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasksDeep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeMaster the Python 3 programming language for Data HandlingMaster Pandas 2 and 3 for Advanced Data HandlingAnd much more…This course includesa comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, or Pythonan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, Classification, Python, Pandas and Data Handling! These are the most important and useful tools for modeling, AI, and forecasting. Data Handling is the process of making data useful and usable for regression, prediction, classification, and data analysis.Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks. Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Data Science Methods and Algorithms Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!Anyone who wants to master Pandas for Data Handling!Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, Python, Pandas, and Data Handling.Course requirementsThe four ways of counting (+-*/)Some Experience with Data Science, Data Analysis, or Machine LearningEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionProgramming experience is not needed and you will be taught everything you needThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 35+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
