Learn Data Mining & Machine Learning with Python

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学习如何使用 NumPy、Pandas、Matplotlib、Scikit-Learn、Tensorflow，并附有完整的统计课程作为附录

你会学到什么

了解有关数据挖掘及其应用的所有信息
了解机器学习及其与数据挖掘的联系
了解所有机器学习算法、它们的类型以及它们在业务中的用法
了解如何在不同的业务场景中实现机器学习算法
了解如何安装和使用 Python 编程语言以简单的方式创建机器学习算法
了解如何将数据集导入 Python 并在创建算法之前进行必要的清理
了解如何解释每种算法的结果并将它们相互比较以选择最佳算法
了解如何在 Python 中创建图形，例如散点图和回归图，并在分析中使用它们

要求

统计和操作系统基础知识

描述

如果您想学习如何创建机器学习模型并在数据挖掘过程中使用它们，那么本课程适合您。您将在本课程中了解什么是数据挖掘过程以及如何在数据挖掘中实现机器学习算法。此外，您将详细了解深度学习的工作原理以及如何构建深度学习模型来解决业务问题。在课程开始时，您将了解数据挖掘的基本概念，并了解实施数据挖掘的业务领域。之后，您将学习如何使用专门为此目的开发的多个数据科学库在 Python 中创建机器学习模型。NumPy、Pandas 和 Matplotlib 是这些模型的一些示例，您将学习如何导入并使用它们在 Python 中创建机器学习算法。您将从头开始学习在 Python 中输入代码，而无需具备编码方面的知识。您将熟悉构建机器学习模型所需的基本代码。本课程旨在以简单直接的方式为您提供所需的知识，以使学习过程顺利进行。您将逐步建立您的知识，直到您熟悉最常用的机器学习算法。

本课程适用于谁

任何需要在数据挖掘中使用机器学习算法进行业务实施的人
任何人都想在机器学习中使用 Python 进行学习。

Learn how to use NumPy, Pandas, Matplotlib, Scikit-Learn, Tensorflow with a complete statistics course as appendix

What you’ll learn

Learn everything about Data Mining and its applications
Understand Machine Learning and its connection with Data Mining
Learn all Machine Learning algorithms, their types, and their usage in business
Learn how to implement Machine Learning algorithms in different business scenarios
Learn how to install and use Python programming language to create machine learning algorithms in a simple way
Learn how to import your data sets into Python and make required cleaning before creating the algorithms
Learn how to interpret the results of each algorithms and compare them with each other to choose the optimum one
Learn how to create graphs in Pythons, such as scattered and regression graphs and use them in your analyses

Requirements

Basic knowledge in Statistics and operating systems

Description

If you seek to learn how to create machine learning models and use them in data mining process, this course is for you. You will understand in this course what is data mining process and how to implement machine learning algorithms in data mining. Moreover, you will learn in details how deep learning does work and how to build a deep learning model to solve a business problem. In the beginning of the course, you will understand the basic concepts of data mining and learn about the business fields where data mining is implemented. After that you will learn how to create machine learning models in Python using several data science libraries developed especially for this purpose. NumPy, Pandas, and Matplotlib are some examples of these models that you will learn how to import and use to create machine learning algorithms in Python. You will learn typing codes in Python from scratch without the need to have a pervious knowledge in coding. You will be familiar with the essential code needed to build machine learning models. This course is designed to provide you with the knowledge you need in a simple and straightforward way to smooth the learning process. You will build your knowledge step by step until you become familiar with the most used Machine Learning algorithms.

Who this course is for

Anyone who need to use machine learning algorithms in data mining for business implementation
Anyone wants to learn using Python in Machine Learning.

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