Python 在数据科学和机器学习中的应用（2024）
上次更新时间：2024-09-21
课程售价: 2.9 元
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课程内容
1 - Introduction
2 - Python Crash Course
3 - Python Pandas
- 14 - Introduction to Pandas
- 15 - Pandas Series Part 1
- 16 - Pandas Series Part 2
- 17 - Pandas Series Unique
- 18 - Pandas Series Sorting
- 19 - Introduction to DataFrames
- 20 - Accessing csv files
- 21 - Data Inspection
- 22 - Dataframe Indexing 1
- 23 - Dataframe Indexing 2
- 24 - Dataframe Filter
- 25 - Position based indexing using iloc
- 26 - Dataframe Slicing using iloc
- 27 - Label based Slicing using loc
- 28 - Loc with numeric index
- 29 - Reset Index
- 30 - Rename Columns
- 31 - Conditional Filter
- 32 - Advanced Filter
- 33 - Missing Values Part 1
- 34 - Missing Values Part 2
- 35 - Group by
4 - Data Exploration and Cleaning
- 36 - Intro to Time Series
- 37 - Downloading Data yfinance API
- 38 - String to Datetime
- 39 - Reading Files
- 40 - Working with My Sql Database
- 41 - Slice Time Series Data
- 42 - Pivot DataFrame
- 43 - Resample DataFrame
- 44 - Data Normalization
- 45 - Frequency Tables
- 46 - Visualization Part 1 Pandas
- 47 - Visualization Part 2 Matplotlib
5 - Financial Returns
6 - Basic Statistics
7 - Inferential Statistics
8 - Predictive Modeling
课程内容
8个章节 , 69个讲座
1 - Introduction
2 - Python Crash Course
3 - Python Pandas
- 14 - Introduction to Pandas
- 15 - Pandas Series Part 1
- 16 - Pandas Series Part 2
- 17 - Pandas Series Unique
- 18 - Pandas Series Sorting
- 19 - Introduction to DataFrames
- 20 - Accessing csv files
- 21 - Data Inspection
- 22 - Dataframe Indexing 1
- 23 - Dataframe Indexing 2
- 24 - Dataframe Filter
- 25 - Position based indexing using iloc
- 26 - Dataframe Slicing using iloc
- 27 - Label based Slicing using loc
- 28 - Loc with numeric index
- 29 - Reset Index
- 30 - Rename Columns
- 31 - Conditional Filter
- 32 - Advanced Filter
- 33 - Missing Values Part 1
- 34 - Missing Values Part 2
- 35 - Group by
4 - Data Exploration and Cleaning
- 36 - Intro to Time Series
- 37 - Downloading Data yfinance API
- 38 - String to Datetime
- 39 - Reading Files
- 40 - Working with My Sql Database
- 41 - Slice Time Series Data
- 42 - Pivot DataFrame
- 43 - Resample DataFrame
- 44 - Data Normalization
- 45 - Frequency Tables
- 46 - Visualization Part 1 Pandas
- 47 - Visualization Part 2 Matplotlib