使用机器学习技术预测电信公司的客户流失。该项目展示了在数据分析、功能工程和模型选择方面的熟练程度，提供了帮助企业留住客户和提高满意度的见解。
Predicting customer churn in a telecommunications company using machine learning techniques. This project showcases proficiency in data analysis, feature engineering, and model selection, providing insights to help businesses retain customers and improve satisfaction. (2024-05-03, Jupyter Notebook, 0KB, 下载0次)
这个项目旨在对销售数据进行深入分析,并通过用户画像生成来揭示销售业务中的关键信息。通过对销售额、数量、利润等指标的统计分析,以及产品销售情况、地域销售情况、客户销售情况和时间趋势的分析,帮助企业了解销售业绩表现、产品热卖情况、地域销售重点、客户贡献度以及销售额的月度趋势。同时,通过用户画像生成函数,可以根据用户姓名获取其消费数据,分析其消费习惯,包括总消费额、平均订单金额和最常购买的产品。
This project aims to conduct in-depth analysis of sales data and reveal key information in sales business through the generation of user profiles. Through statistical analysis of sales, quantity, profit and other indicators, as well as analysis of product sales, regional sales, customer sales and time trend, help enterprises understand sales performance, product hot sales, regional sales focus, customer contribution and monthly sales trend. At the same time, through the user profile generation function, you can obtain the user s consumption data according to the user s name, and analyze their consumption habits, including the total consumption, the average order amount, and the most frequently purchased products. (2024-02-10, Jupyter Notebook, 0KB, 下载0次)
该项目是关于使用机器学习和自然语言处理方法来分析新闻文章的数据集，这些文章被分为五个类别：政治、体育、科技、娱乐和商业。目标是构建能够根据新文章的内容准确地为其分配标签的模型。
The project is about using machine learning and natural language processing methods to analyze a dataset of news articles that are classified into five categories: politics, sport, tech, entertainment, and business. The objective is to build models that can accurately assign labels to new articles based on their content. (2024-02-07, Jupyter Notebook, 0KB, 下载0次)
作为您团队的数据专家，您的任务是调查印度初创企业生态系统，并为您的团队在该领域的风险投资推荐最佳行动方案。
As the data expert of your team, you have been tasked with investigating the Indian start-up ecosystem and recommending the optimal course of action for your team s venture into this space. (2023-10-18, Jupyter Notebook, 0KB, 下载0次)
非营利性基金会Alphabet Soup想要一种工具，可以帮助它选择在其企业中最有可能成功的融资申请人。使用机器学习和神经网络，您将使用提供的数据集中的功能来创建一个二进制分类器，该分类器可以预测申请者在获得资助后是否会成功。
Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded. (2023-08-22, Jupyter Notebook, 0KB, 下载0次)
CSRBOX数据分析实习的目标是为实习生提供将数据分析技术应用于企业社会责任（CSR）领域的真实项目的实践经验。实习生将在项目工作中获得数据收集、清理、分析、可视化和报告方面的实用技能
The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects (2023-07-30, Jupyter Notebook, 0KB, 下载0次)
什么是CLV、LTV CLV或LTV是一种度量，可以帮助您衡量客户对企业的终身价值。在这个内核中，我是shari...，
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer s lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python. (2022-12-04, Jupyter Notebook, 0KB, 下载0次)
该项目的目标是通过建立一个模型来预测筹集资金的成功，同时调查性别偏见并提供建议，帮助女性企业家了解风险投资的融资前景。
The goal of this project is to help female entrepreneurs understand the VC
funding landscape by producing a model to predict success of raising funds
while also investigating gender bias and providing recommendations.
, (2022-01-07, Jupyter Notebook, 68180KB, 下载0次)