Kaggle presentation v3

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Amy Yujing Ma

Improving Home Depot Search Relevance

Data & Analytics

Train vs Test
Training data is smaller
Both have unique products

Train, Test vs. Description
All the products have a description

Train, Test vs. Attributes
Not all the products have attributes

Basics
Fix Casing : Hammer > hammer
Remove Symbols: ft. > ft
Remove Stop Words: hammer for nails > hammer nails
POS Tagging: hammer > [hammer,noun]
Lemmatization: drills > drill
Stemming: running > run

Want custom lookup tables
Don't want to go through all the
data manually . . .

More Advanced
Standardize Numbers : Five > 5
Standardize Measurements: 2 feet by 4 inches > 2x4
Split Joined Words: wiremesh > wire mesh
Correct Spelling: insullation > insulation
Reduce Synonyms: lopper > shear

The Document Term Matrix
When all you have is a Home Depot hammer . . .

Text Mining Features with doc2vec – cosine distances
1.Distance (Product Title + Product Description vs. Search Term)
2. Categorical Data: Distance (Product Title vs. Product Title)

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Context 1. Make Insight-informed Decisions: Clinic collected data on heart disease diagnosis and other patient information, and wants to use the data to make insight-informed decisions. Objective 2. Predict Patient’s Well-being: To identify the rules that will predict whether a patient will have heart disease in the future, based on the data collected on him/her. Strategy 3. Deploy Decision Tree Model: Create a Decision Tree Model, with rules, to predict whether a patient will have a heart disease in the future based on collected data. 3.1 To train and evaluate the model 3.2 Boost the model’s performance 3.3 Conduct predictions Author: Anthony Mok Date: 18 Nov 2023 Email: xxiaohao@yahoo.com

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原版定制【微信:153539019】《(UWO毕业证书）西安大略大学毕业证》【微信:153539019】成绩单、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信153539019】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信153539019】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。

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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands. It’s important that you’re ready to implement new strategies in 2024. Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024. You’ll learn: - The latest trends in AI and automation, and what this means for an evolving paid search ecosystem. - New developments in privacy and data regulation. - Emerging ad formats that are expected to make an impact next year. Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape. If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.

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From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world. With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively. The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage. Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience. See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers See the original article on Forbes here: http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b

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Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world. Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance. For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age. Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.

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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59 Key takeaways: • Learn how to use ChatGPT to add AI power to your testing and test automation • Understand the limitations of the technology and where human expertise is crucial • Gain insight into different AI-based tools • Adopt AI-based tools to stay relevant and optimize work for developers and testers * ChatGPT and OpenAI belong to OpenAI, L.L.C.

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1. HOME DEPOT KAGGLE TEAM AMBARWAVES.C

3. DATA EXPLORATION

4. Training data scored in particular way

5. Hard to fit such a distribution

6. Train vs Test Training data is smaller Both have unique products

7. Train, Test vs. Description All the products have a description

8. Train, Test vs. Attributes Not all the products have attributes

9. Train, Test vs. Brand Name Not all the products have a brand name

10. STRATEGY/WORKFLOW

11. Flow Charts

12. TEXT CLEANING

13. Basics Fix Casing : Hammer > hammer Remove Symbols: ft. > ft Remove Stop Words: hammer for nails > hammer nails POS Tagging: hammer > [hammer,noun] Lemmatization: drills > drill Stemming: running > run

14. Want custom lookup tables Don't want to go through all the data manually . . .

15. More Advanced Standardize Numbers : Five > 5 Standardize Measurements: 2 feet by 4 inches > 2x4 Split Joined Words: wiremesh > wire mesh Correct Spelling: insullation > insulation Reduce Synonyms: lopper > shear

16. FEATURES

17. The Objective

18. The Features Direct Match • Match Count • Last Word Match • Brand Matching Ratios • Search Term Hit Ratio • Target Hit Ratio Length • Search Term • Title • Description Disconnected • Word Power Scores • Synonym Scores

19. The Document Term Matrix When all you have is a Home Depot hammer . . .

20. Text Mining Features with doc2vec – cosine distances 1.Distance (Product Title + Product Description vs. Search Term) 2. Categorical Data: Distance (Product Title vs. Product Title)

21. MODEL BUILDING AND SELECTION

22. Model Comparison

23. Best Model

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