Python programming for Machine Learning, Data Analytics

所在平台: Udemy

课程主页: https://www.udemy.com/course/python-programming-for-machine-learning-data-analytics/

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课程简介

课程名称:机器学习与数据分析的Python编程 课程概述:本课程旨在让学员在结束时掌握Python编程的基础以及数据科学和机器学习的基本概念。课程将提供逐步指导,帮助学员深入理解机器学习和数据科学在Python中的应用。您将会增强核心编程技能,达到更高级别的水平,同时学习软件设计的基本知识,包括流程图、伪代码和算法等。 学习内容包括: - Python机器学习环境的搭建 - 数据理解与统计分析及数据预处理(读取文件中的数据、检查数据维度、数据统计摘要及属性之间的相关性) - 数据预处理,包括Python中的缩放、规范化、二值化和标准化,以及特征选择技术(单变量选择) - 使用Python进行数据可视化,包括条形图、直方图、饼图等的逐步指导 - 使用Python构建人工神经网络,并进行KERAS教程的学习,逐步开发一个人工神经网络 - 深度学习:手写数字识别的完整项目 - Python中的朴素贝叶斯分类器(讲座和演示) - 线性回归与逻辑回归的介绍 - 聚类算法介绍(K-均值聚类) 课程还将涵盖Python编程的基础,包括环境设置、变量、列表、元组、字典、布尔操作、条件语句、循环(顺序、选择、重复/迭代)、函数和文件处理。此外,课程会涉及到软件设计的基础知识,包括问题解决、流程图、模块化设计和重复设计。 通过本课程的学习,您将获得全面的Python编程和机器学习的实践技能,为未来深造和职业发展奠定基础。

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课程详情

At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.The course will have step by step guidance for machine learning & Data Science with Python.You can enhance your core programming skills to reach the advanced level. You will learn about Software Design as well. eg: Flow charts, pseudacodes, algorithms. By the end of these videos, you will get the understanding of following areas the Setting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques: Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]Naive Bayes Classifier with Python [Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering [K - Means Clustering ]K - Means ClusteringPython ProgrammingSetting up the environmentPython For Absolute Beginners: Setting up the Environment: AnacondaPython For Absolute Beginners: Variables , Lists, Tuples , DictionaryBoolean operationsConditions , Loops(Sequence , Selection, Repetition/Iteration)FunctionsFile Handling in PythonFlow ChartsAlgorithmsModular DesignIntroduction to Software Design - Problem SolvingSoftware Design - Flowcharts - SequenceSoftware Design - Modular DesignSoftware Design - RepetitionFlowcharts Questions and Answers # Problem Solving

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