Play Prophet timing prediction based on Streamlit_prophet
Since it is to play, it is easy, on the basis of popular understanding of the core principle, focus on practice. This article first introduces the basic use of the Prophet model and then introduces an open source project out of the box, Streamlit_prophet
Automatic closed loop processing of acoustic network crash data
Program crash is a phenomenon that the program cannot continue to execute due to some serious error, so it is abnormal exit. It is one of the most frequent problems encountered in the process of quality assurance, and usually we need to pay great attention to this kind of problems.
Do this five steps of e-commerce analysis and you will beat your competitors
If you are in an e-commerce business, conducting sound competitor analysis can help you better understand your competitors and what they are targeting. This will give you a better understanding of where your company is in your industry so you can make better, smarter decisions that can help you with pricing strategies and marketing campaigns. Due to online zero
Tech stack, how do I simplify with you?
As new technologies continue to emerge, we will go deeper into the 5G era. 5G is expected to account for 1.2 billion connections by 2025, covering a third of the world's population. Although it is now easier than ever to build technology stacks and telecom operators will face 5G blue sea, telecom operators still
Pandas+Seaborn+Plotly: Explore the Apple AppStore
Hello, I'm Peter. Today I'm going to share with you a new article about kaggle: exploring the AppleStore visualization based on Seaborn+Plotly. This is a case study of data analysis based entirely on statistics + visualization. The original notebook
House Prices: Advanced Regression Techniques (part 1)
Machine learning is divided into classification and regression. In the last article, we introduced classification using decision tree and random forest through examples. This time, let's forecast housing prices and practice the regression analysis model in R language.
Volume on new | Elasticsearch from getting started to practice
Elasticsearch 7. X is a new technology for Elasticsearch, and spoofer is a new technology for Elasticsearch.
How to design taobao Tmall this successful and valuable big data visualization?
Taft says, "Graphs represent data. It's actually more accurate and illuminating than traditional statistical analysis." For the general editor, designer, operations analysts, big data, researchers, and so on all need from different dimensions, different levels and different granularity of data processing in statistics, with the aid of diagrams and information graph (for information only) for the user, the reader (consumption information) and managers (the use of information management and decision making) a...
Advertising and marketing of Meituan in the O2O scenario
As the largest online local life service platform in China, Meituan covers catering, hotels, travel, leisure and entertainment, takeout delivery and other life scenes, connecting hundreds of millions of users and millions of merchants. How to help local merchants to carry out online marketing, so that they can quickly and effectively reach the target user groups to improve the operation efficiency, is one of the core issues of Meituan, and machine learning related technology plays a role in the local online marketing scene.
On this day in 1995, the first credit card was issued in China. Would you use data model to analyze the default probability of credit card customers
Project background: It has been 26 years since Shanghai failed to issue the first credit card in China on April 16, 1995. In recent years, more and more people are using credit cards. Credit cards require people to pay on time, if not on time, the bank will charge a certain amount of interest benefit, so major banks in order to seize the market, the largest