I recommend a good place for Python machine learning and data analysis : You Er Hut .
The original articles here are as high as 260+, the main content involves: Python machine learning, data analysis, crawlers, kaggle case sharing, Pandas, MySQL, visualization, tools, etc. Let 's take a look, you can pay attention to learning ❤️
Here are some high-quality original articles:
1. Machine learning + kaggle case
The sharing of machine learning and data analysis cases is the core content of Uerhut, which mainly includes the sharing of machine learning theory + kaggle competition + data analysis:
machine learning
(1) Part of the article on machine learning:
1. The first show of the machine learning drawing artifact Matplotlib!
2. Detailed machine learning linear regression model
3. From theory to actual combat, win the introductory algorithm of machine learning
4. Literacy of statistical knowledge: correlation coefficient
5. The first show of Numpy, a must-learn library for machine learning matrix operations!
6. The machine learning artifact Scikit-Learn nanny-level introductory tutorial
7. Getting Started with Machine Learning Artifact Scikit-Learn.PPT
kaggle case
(2) The following are some kaggle case sharing, which are gradually updated:
8. 7000 words, use Python to analyze Titanic data!
9. Predictive classification of heart disease patients based on random forest model
10. Plotly+Pandas+Sklearn: Realize user clustering and grouping!
11. 6 supervised learning models: classification of poisonous mushrooms
12. From the perspective of statistics and data, how do you view housing prices?
13. Plotly+Seaborn+Folium visualized Airbnb rental data
2. Graphical Pandas library
The Pandas library is a Python library that data analysis or machine learners master. Pandas is really powerful in data processing.
Peter has completed the introductory tutorial V.1 of "Learn and Use Python". Many articles are in the form of diagrams + cases. Now the official account is all open:
1. Featured 23 commonly used functions of Pandas
2. 4 tips for Pandas row-column conversion!
3. Essence! 12 Common Pandas Configuration Tips
4. Pandas table beauty skills!
5. Graphical Pandas data merging: concat, join, append
6. Challenge SQL: Graphical Pandas data merge merge
7. Illustrate the groupby mechanism of Pandas
8. Graphical Pandas repeated value processing
3. Play with visualization
A picture is worth a thousand words. Graphics can better show the charm and value of data. The editor has updated: plotly, Tableau, Pyecharts, Matplotlib and a series of Python libraries, including dynamic and static:
1. The visualization artifact Plotly plays with Gantt charts
2. The visual artifact Plotly plays the rotor diagram
3. The first show of the machine learning drawing artifact Matplotlib!
4. The visualization artifact Plotly plays with the violin diagram
5. The first show of pure domestic visualization library Pyecharts!
6. "Tableau Chinese Beginner's Manual": Get it for free
7. Spatial data visualization artifact keplergl
8. High-quality visualization artifact: open source by Alibaba Ant Financial Team
4. Python crawler case
Amateur play with Python crawler, you can get it when you see it~
Peter has been updating all tourist cities' attractions + food strategy, showing the characteristics of each city through crawler and data analysis, currently mainly include: Xiamen, Dalian, Suzhou, Chengdu, Changsha and other cities
1. Xiamen is really more than Gulangyu Island
2. Crawler Series | Quickly Crawl Website Novels
3. The Pearl of the North - Dalian is waiting for you
4. Go! roll?
5. Python crawler: scumbag or scumbag? go to the cross
6, Changsha travel strategy! 31 pieces of stinky tofu is it fragrant?
7. The hot pot in Chengdu should be very spicy!
5. MySQL
As a data analysis, the mastery of databases is a must-have skill, especially the structured database MySQL. The editor has updated a very classic set of "MySQL Interview 50 Questions" on the Internet:
1. Finally the clock is over: MySQL Classic 50 Questions
2, MySQL classic 50 questions, must win!
3. Compare SQL and learn Pandas operations: how is group_concat implemented?
4. LeetCode-SQL-184-Highest-paid employee in the department
5. LeetCode-SQL-181-Employees who exceed manager's income
6. LeetCode-SQL-595-Big Country
7. 14 ways, 34 cases: Compare SQL, learn Pandas operations
8. LeetCode-SQL-176-Second Highest Salary
Six, tools
Peter has always insisted on using various production tools, and wrote a lot of articles about tools, such as: Markdown, jupyter notebook, Typora, etc.:
2. The big reveal: Python data analysis tools that must be learned
3. Does the domestic writing artifact Typora charge?
4. 16 daily essential Linux commands
5. "Tableau Chinese Beginner's Manual": Get it for free
6. A PPT compiled by staying up late: the darling of Internet writing!
7. 7 great writing tools for planting grass Peter
7. Free benefits
🌶🌶🌶Part of the information on the official account can get the secret code , just follow the official account and reply to the corresponding keywords, such as: housing prices, Xiamen, etc.
1 | Markdown |
---|---|
2 | house price |
3 | |
4 | Titanic |
6 | mushroom |
7 | jupyter |
8 | clustering |
9 | Xiamen |
10 | novel |
11 | Pyecharts |
12 | material |
13 | supermarket |
14 | statistics |
In addition to the original 260+ articles, there are also various mind maps carefully organized by the account owner:
Massive learning materials + original articles + tools , what are you waiting for? Come in and study~