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Implement iris classification using scikit-learn’s kNN classification algorithm
Chapter1 Python network and crawler
1-1 How to monitor GitHub project updates and automatically open web pages
1-2 How to quickly compare values from multiple libraries
1-3 How to send new library reminder to mobile phone
1-4 How to monitor a certain Weibo data in real time
1-5 How to automatically follow each other on Zhihu
1-6 How to crawl Weibo data for a certain period of time
Chapter2 Python graphical interface development
2-1 How to make a small tool that displays hidden files
2-2 How to make a small tool for compressing images
2-3 How to implement real-time network speed monitoring
2-4 How to make a small tool that runs a script
2-5 How to make a countdown widget
2-6 How to make a scheduled script runner (Part 1)
2-7 How to make a scheduled script runner (Part 2)
Chapter3 Pythonartificial intelligence
3-1 Manually implement a simple iris classifier
3-2 Implement iris classification using scikit-learn’s kNN classification algorithm
3-3 The impact of hyperparameters of kNN algorithm on iris classification
3-4 Use sklearn's linear regression algorithm to achieve house price prediction
3-5 Visual linear model for house price prediction
3-6 Comparing the iris classification accuracy of various algorithms
3-7 Use cross-validation to adjust parameters of the iris classification model
3-8 Using feature preprocessing to improve the performance of housing price prediction models
Chapter4 Python script
4-1 How to fuzzy search files with Python
4-2 How to realize automatic classification of files?
4-3 How to automatically decompress and delete compressed packages
4-4 How to customize group WeChat messages
4-5 How to keep programs running normally
4-6 How to automatically create a WeChat group
4-7 How to use object-oriented implementation to switch workspaces
4-8 How to implement a reminder to read later
4-9 How to customize shortcut key input
Chapter5 Pythondata analysis
5-1 Compare the average riding time of shared bikes per quarter
5-2 Compare the average riding time trends of various types of shared bicycle users
5-3 Compare the proportion of each user category of shared bicycles
5-4 Statistical histogram of riding time for different user categories of shared bicycles
5-5 Grouped bar chart that counts the quarterly riding time of various types of shared bicycle users
5-6 Compare the quantity and calories of various drinks in coffee shops
5-7 Analyze video game sales by country and present them using stacked bar charts
5-8 Analyze variable relationship data of Pokémon
5-9 Analyze data usage of different mobile operating systems
5-10 Analyze GP market values
5-11 Analyzing the Global Happiness Report by Year and Region
5-12 Level analysis of happiness index
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