Python 数据科学 - 你的职业加速器
上次更新时间：2024-11-06
课程售价: 2.9 元
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课程内容
- 1 - Welcome Note Intro to python (免费)
- 2 - Introduction to Google Colab Notebook (免费)
- 3 - Introduction to GitHub
- 4 - Print Comment
- 5 - Variables Assignment Operators
- 6 - Understanding Data Types
- 7 - Understanding Expressions
- 8 - Arithmetic Assignment Operators
- 9 - RelationalComparison Operators
- 10 - Logical Operators
- 11 - Identity Membership Operators Type
- 12 - User Input
- 13 - Conditional Statements with Logical Operators
- 14 - Ifelifelse Statements
- 15 - Switch Case
- 16 - For Loop
- 17 - While Loops
- 18 - DoWhile Loop
- 19 - Break and Continue Statements
- 20 - Introduction to Functions Pass Statements in Python
- 21 - Working with Function Arguments
- 22 - Functions with Return Types
- 23 - Understanding Local and Global Variables
- 24 - Lambda Functions in Python
- 25 - Creating Strings
- 26 - Understanding Strings as Arrays
- 27 - Looping Through Strings
- 28 - String Manipulation
- 29 - Essential String Operations
- 30 - Exploring Useful String Methods
- 31 - Introduction to Lists
- 32 - Iterating Through List Items
- 33 - Exploring List Properties
- 34 - Mastering List Manipulation
- 35 - Exploring List Methods in Python
- 36 - Introduction to Tuples
- 37 - Advanced Tuple Operations
- 38 - Mastering Tuple Operations
- 39 - Exploring Tuple Methods and Operations
- 40 - Introduction to Dictionaries
- 41 - Dictionary Operations
- 42 - Looping through Dictionaries
- 43 - Essential Dictionary Methods
- 44 - Understanding Sets
- 45 - Exploring Set Operations and Looping
- 46 - Set Operations
- 47 - Exploring Set Methods
- 48 - KNN Theory Explained
- 49 - KNN Regression from Scratch using Python
- 50 - KNN Classification from Scratch using Python
- 51 - SVM Theory Explained
- 52 - SVM Regression using Python
- 53 - SVM Classification using Python
- 54 - Detailed Overview of KMeans Clustering
- 55 - KMeans Clustering using Python
课程内容
55个讲座
- 1 - Welcome Note Intro to python (免费)
- 2 - Introduction to Google Colab Notebook (免费)
- 3 - Introduction to GitHub
- 4 - Print Comment
- 5 - Variables Assignment Operators
- 6 - Understanding Data Types
- 7 - Understanding Expressions
- 8 - Arithmetic Assignment Operators
- 9 - RelationalComparison Operators
- 10 - Logical Operators
- 11 - Identity Membership Operators Type
- 12 - User Input
- 13 - Conditional Statements with Logical Operators
- 14 - Ifelifelse Statements
- 15 - Switch Case
- 16 - For Loop
- 17 - While Loops
- 18 - DoWhile Loop
- 19 - Break and Continue Statements
- 20 - Introduction to Functions Pass Statements in Python
- 21 - Working with Function Arguments
- 22 - Functions with Return Types
- 23 - Understanding Local and Global Variables
- 24 - Lambda Functions in Python
- 25 - Creating Strings
- 26 - Understanding Strings as Arrays
- 27 - Looping Through Strings
- 28 - String Manipulation
- 29 - Essential String Operations
- 30 - Exploring Useful String Methods
- 31 - Introduction to Lists
- 32 - Iterating Through List Items
- 33 - Exploring List Properties
- 34 - Mastering List Manipulation
- 35 - Exploring List Methods in Python
- 36 - Introduction to Tuples
- 37 - Advanced Tuple Operations
- 38 - Mastering Tuple Operations
- 39 - Exploring Tuple Methods and Operations
- 40 - Introduction to Dictionaries
- 41 - Dictionary Operations
- 42 - Looping through Dictionaries
- 43 - Essential Dictionary Methods
- 44 - Understanding Sets
- 45 - Exploring Set Operations and Looping
- 46 - Set Operations
- 47 - Exploring Set Methods
- 48 - KNN Theory Explained
- 49 - KNN Regression from Scratch using Python
- 50 - KNN Classification from Scratch using Python
- 51 - SVM Theory Explained
- 52 - SVM Regression using Python
- 53 - SVM Classification using Python
- 54 - Detailed Overview of KMeans Clustering
- 55 - KMeans Clustering using Python