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)
在今天的数据驱动世界中，机器学习正在改变每一个可以想象的行业。从医疗保健和金融到娱乐和制造，它的应用是无限的。Learning Machine Learning为您配备了在就业市场上占据显著优势的技能，并为激动人心的职业机会打开了大门。。
In today s data-driven world, Machine Learning is transforming every industry imaginable. From healthcare and finance to entertainment and manufacturing, its applications are limitless. Learning Machine Learning equips you with the skills to give you a significant edge in the job market and open doors to exciting career opportunities.. (2024-04-26, Jupyter Notebook, 0KB, 下载0次)
利用随机森林、支持向量机和Logistic回归等机器学习模型来预测客户流失。分析影响流失的模式和因素的数据。开发留住战略的渠道，帮助企业留住客户
Utilizing machine learning models like Random Forest, Support Vector Machine and Logistic Regression to predict customer churn. Analyzing data for patterns and factors influencing churn. Developing a pipeline for retention strategies, aiding businesses in retaining customers (2024-03-28, Jupyter Notebook, 0KB, 下载0次)
如果不分析竞争，企业很难生存。我的任务是分析管理层的竞争，以提供更好的结果。该项目处理印度500强公司数据的数据分析。
Without analyzing the competition, it is difficult for a business to survive. I was tasked to analyse the competition for the management to provide better results. This project deals with data analysis of India s Top 500 companies data. (2024-03-23, Jupyter Notebook, 0KB, 下载0次)
一个有抱负的企业家可以使用RecommendationSystem在加州从事零售业，并为自己的创业计划。主题建模、情感分析等各种概念用于大型Yelp[review数据集的文本分析。
An aspiring entrepreneur can use the RecommendationSystem for undertsnading retail industry in california and plan for his own venture.A variety of concepts like Topic Modeling,Sentiment Analysis is used to for text analytics of the huge Yelp[ review dataset. (2024-03-21, Jupyter Notebook, 0KB, 下载0次)
沃尔玛公司的管理团队希望根据客户的性别和各种其他因素分析客户的购买行为（特别是购买量），以帮助企业做出更好的决策
The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions (2024-03-12, Jupyter Notebook, 0KB, 下载0次)
“探索对44种脑肿瘤类型进行分类的MRI图像的rad集合！从星形细胞瘤到胶质母细胞瘤，我们的数据集具有T1、对比度T1和T2图像，非常适合ML爱好者和医学研究人员。没有患者ID，只有医生解释的酷酷扫描。投入到脑力娱乐和学习中吧！”
"Explore a rad collection of MRI images categorizing 44 brain tumor types! From astrocytoma to glioblastoma, our dataset features T1, contrast T1, and T2 images, perfect for ML enthusiasts and medical researchers. No patient IDs, just cool scans interpreted by doctors. Dive in for brainy fun and learning!" (2024-02-24, Jupyter Notebook, 0KB, 下载0次)
沃尔玛公司（Walmart Inc.）的管理团队希望根据客户的性别和各种其他因素分析客户的购买行为（特别是购买量），以帮助企业做出更好的决策。
The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. (2024-02-07, 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)
Impala Research的这一项目是Brainster Data Science Academy的第一名获奖者，它利用预测眼球跟踪来转变消费者行为分析，增强对视觉注意力的洞察力，并为企业做出决策。
First Place Winner at Brainster Data Science Academy, this project by Impala Research leverages predictive eye tracking to transform consumer behavior analysis, enhancing insights into visual attention and decision-making for businesses. (2024-01-28, Jupyter Notebook, 0KB, 下载0次)
利用电视、广播和报纸广告预算的数据，创建了一个多元线性回归模型来预测企业销售回报。该模型有助于优化广告策略，以提高投资回报。
Created a multiple linear regression model to predict business sales returns, utilizing data from TV, radio, and newspaper advertising budgets. The model aids in optimizing advertising strategies for enhanced return on investment. (2024-01-26, Jupyter Notebook, 0KB, 下载0次)
该项目提供了一个端到端框架，用于开发具有最小标记训练数据的生产就绪聊天机器人。它支持在不访问大型数据集的情况下为企业构建对话人工智能。
This project provides an end-to-end framework for developing production-ready chatbots with minimal labeled training data. It enables building conversational AI for businesses without access to large datasets. (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
探索Python Project100，这是一个由100个用于学习和娱乐的Python.项目组成的集合。这个存储库是我们编码旅程的一部分，在这里我们深入研究各种Python概念、数据分析和实际应用程序。在我们构建、学习和分享Python创作的过程中，加入我们的冒险之旅。快乐编码！
Explore Python Project100, a collection of 100 engaging Python projects designed for learning and fun. This repository is part of our coding journey, where we delve into various Python concepts, data analysis, and practical applications. Join us on this adventure as we build, learn, and share our Python creations. Happy coding! (2023-12-27, Jupyter Notebook, 0KB, 下载0次)
欢迎来到存储库，在这里学习Python超越了传统教育的界限。在这里，您将发现我在Python编程会话中精心编制和使用的注释、示例和真实世界类比的全面集合。这些资源为上海华侨城3000多名学生照亮了编程之路
Welcome to the repository where learning Python transcends the boundaries of traditional education. Here, you ll find a comprehensive collection of notes, examples, and real-world analogies that I ve meticulously crafted and used in my Python programming sessions. These resources have illuminated the path of programming for over 3000 students ofSWC (2023-12-23, 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)
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)
部分（信不信由你）我们选择了清晰而不利于效率。预印本可在[https://arxi...]（https://arxiv.org abs 1901.09153）中找到
This repository contains the notebook with symbolic computations in SAGE for the paper "Transverse bifurcation of viscous slow MHD shocks", by Blake Barker, Rafael Monteiro, and Kevin Zumbrun. The code is not intended to be optimized, and in several parts (believe it or not) we chose clarity to the detriment of efficiency. The preprint can be (2021-11-02, Jupyter Notebook, 600KB, 下载0次)
实践代码|阅读我的博客@[https:media.com@thepasadpatil k-means-clustering-inidentifying-f-r-i-e-n.d..]（https:media.com.cn@thepasadapatil k-means-clustering-Inidentifying-fo-r-i-e-nd-s-in-the-world-of-signgers-695537505d）
Hands on practice code | read my blog @ [https: medium.com @theprasadpatil k-means-clustering-identifying-f-r-i-e- n-d…](https: medium.com @theprasadpatil k-means-clustering-identifying-f-r-i- e-n-d-s-in-the-world-of-strangers-695537505d) (2022-01-19, Jupyter Notebook, 484KB, 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)
在TechLabs Berlin AI Track计划（03.2021-07.2021）中为Jobzilla项目创建的用于自动工作申请管道的AI模型（用户简历、工作描述分析（定制的NER SpaCy）和人工求职信生成（经过训练的GPT-2模型）。
AI models for automatic job application pipeline (user CV, job description
analysis (customized NER/SpaCy) and artificial cover letter generation
(trained GPT-2 model) created for Jobzilla project within TechLabs Berlin AI
Track programm (03.2021-07.2021).
, (2021-07-19, Jupyter Notebook, 209KB, 下载0次)