Take Taobao, JD.com and Pinduoduo as typical user + commodity consumption scenarios, which are the business scenarios with the largest number of domestic users and the business scenarios that generate the most profits. Among them, customers have the greatest autonomy. How to effectively use or identify the large amount of data generated by customers' behavior has become one of the challenges for e-commerce to maximize economic benefits.
A good user portrait can greatly help you solve problems. For example, you can start from the Gini index of the number of different products users browse, the conversion rate of the brands most browsed by users, and the last type of user operation . Improving business and user experience can also achieve user retention and increase platform revenue on the other hand.
However, at present, e-commerce companies often have a headache about the data they have or how much data they plan to collect, so in most cases, people choose to rely on intuition instead of data to make decisions.
In fact, although user behavior prediction seems troublesome, if you find the direction you need, start with the basics, and then go deeper into practice, the problem will be solved.
Exactly, I recommend you an open course. Teacher Mozak, who has 5 years of experience in data mining and machine learning projects, will bring you the "E-commerce User Behavior Sequence Modeling" course -
Starting from the introduction of e-commerce golden links, it analyzes the construction of the e-commerce funnel model, and finally explains in detail the prediction of user purchase behavior based on machine learning and deep learning.
August 23, 19:30 pm
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The teacher has 5 years of experience in data mining and machine learning projects, Github Star 2k+, has led many AI projects, and is very good at data mining and deep learning model optimization.
He will start with explaining e-commerce user behavior, conduct funnel analysis practice, and then introduce user purchase behavior prediction business. At the same time, he will conduct modeling training to help you more effectively——
1. Understand Pandas data analysis
2. Learning funnel model building
3. Learn user purchase behavior prediction model
商业智能时代下，专业度不仅仅体现在专业知识面上，从技术思维、业务思维到框架思维都需要得到有效的提升。
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现在报名本次公开课，就可以全部送给你，赶快报名添加顾问领取吧。
8月23日，晚19点30分
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