Congratulations to all.
I hope to be able to collaborate at full power when I have taken the projects off my back, in the meantime this is my way of saying:
Hello, I am still here.
A&E + HC 
4 Likes
Thank you for the recognition! I’ll wear the new badge with pride :).
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A belated “thank you” still! (I was unavailable for some time, couldn’t reply sooner). Really nice to receive the recognition and badge!
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Here are the Community Champions for this week: 
Individual Project sharer:
@vadim.maklakov shared his personal project on Tabular Playground Series - Feb 2022 - solve using classical MLP, in which he thoroughly analyzed different versions of machine learning models, created insightful plots, and made valuable conclusions.
Dataquest Project sharers:
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@israelogunmola showed off his project on Clean and Analyze Employee Exit Surveys that stands out for its eye-catching charts, top-class code comments, cool output format, smooth storytelling, and an honest demonstration of the project’s limitations.
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@brucemcminn shared his project on Kids in NYC Schools where he conducted a professional data analysis that resulted in insightful and engaging observations along with informative and useful code comments.
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Another highly-detailed and well-structured project on NYC School Data was shared by @biengioichantroi in which he demonstrated attention to the details and curiosity about the findings, and provided very interesting conclusions.
Project reviewers:
@israelogunmola and @austinep, together with our amazing Community Moderators, took time to review the projects of other learners and leave them valuable feedback and words of encouragement.
Useful resource sharer:
@Edelberth shared 2 cool and helpful data-related resources: free Python books and synthetic data.
Thanks a lot, guys, for your enthusiasm and participation in our Community! 
I am proud to reward you with:
- A 7 day extension on your current Dataquest subscription
- An exclusive Community Champion badge in our Community
6 Likes
Thank you very much @Elena_Kosourova 
. I am glad to be back here and contributing. Congratulations to all the community champions 
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Here are the Community Champions for this week:
Individual Project sharer:
@gbpignatti5 shared his personal project on Predicting Movie Revenues, where he used various machine learning approaches. This project highlights his curiosity about data, resulting in thorough data analysis supported by awesome charts and a systematic comparison of machine learning algorithms.
Dataquest Project sharers:
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@troodpa shared his project on Best markets for advertising e-learning, which is noticeable for its stunning and informative charts combined with a very in-depth and multifaceted data analysis and interesting narrative.
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@jesmaxavier shared his project on Analyzing the Star Wars Dataset that demonstrates his knowledge of the franchise thanks to funny puns he introduced. The work of Max is an excellent example of eye-catching and insightful charts, including the visualizations of missing data.
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The project of @biengioichantroi on Insight from StarWars survey is a must-read for its amazing plots, digging deep into the data, exploring various factors, and curious observations and conclusions. What’s more, Nguyen efficiently implemented the helpful suggestions from @info.victoromondi
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@kevindarley2024 showed off his project on Finding an Edge to Win Jeopardy which stands out for its perfect project structure, smooth storytelling, very precise conclusions, and concise but meaningful explanations.
Project reviewer:
@israelogunmola, together with our Community Moderators, continues to be very helpful in the Community reviewing other learners’ projects and providing them thoughtful feedback and motivation.
Useful resource sharers:
@alcburns, @Edelberth and @octoparsejerry shared useful resources in the Community: on Correlated Dataset Generator (@alcburns created this macro-enabled Excel program themselves! ), web scraping and Flaticon + Emojipedia.
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
- A 7 day extension on your current Dataquest subscription
- An exclusive Community Champion badge in our Community
7 Likes
Congratulations to everyone.
…how good it would be to be able to meet us and have a 
or .
A&E + 
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Thanks Elena! I’ve learned so much thanks to DataQuest!
I don’t know if anyone’s found a good way to show off their badge on LinkedIn, but I’ve put it as one of my achievements there. Feel free to connect! https://www.linkedin.com/in/kdarley
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Hi.
Is it possible to show badges on Linkedin??
Thx.
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@kevindarley2024 , @Edelberth ,
About sharing badges on LinkedIn: we don’t have such functionality at this time, but your idea sounds very interesting, so I submitted it as feedback to our team. In the future, if you have any other feedback on what can be implemented in the Community or the learning platform itself, I encourage you to send your suggestions using this link.
Of course, all the other learners are very welcome to share their ideas of potential improvements using the above link as well! 
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thank you very very much Elena .Wow! Thanks a lot, Elena!
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Here are the Community Champions for this week:
Dataquest Project sharer:
@jasperquak shared his project on Finding the best markets to advertise in where he demonstrated his great ability to deal with data issues by doing a thorough analysis, asking meaningful questions, and providing smooth and informative explanations.
Project reviewer:
@jesmaxavier, together with our amazing Community Moderators, was extremely helpful this week looking through his peers’ projects and giving them detailed, actionable feedback.
Great question asker:
@mr.sha3ban returned to the Community with new cool and tricky questions on Python. Check them here and here.
Useful resource sharers:
@Edelberth and @ehall shared plenty of useful resources in the Community: [1], [2], [3], [4], and [5].
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
- A 7 day extension on your current Dataquest subscription
- An exclusive Community Champion badge in our Community
4 Likes
Thank you - much appreciated!
3 Likes
Here are our numerous Community Champions for this week: 
Individual Project sharers:
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@israelogunmola shared his personal project on Gapminder Data Analysis: Continental Variations in Human Development in which he explored demographics across different continents. The project stands out for its thorough data cleaning, accurate data analysis, awesome visualizations, and curious conclusions.
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@oleksii.sydorchuk was inspired by a video of Vik on creating book recommendation systems, made his own project on Building a book recommender system using collaborative filtering, and enhanced it by introducing a few tweaks. Moreover, he is planning to further improve his work by applying machine learning algorithms!
Dataquest Project sharers:
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@bender38 revised his project on EUR-USD exchange rates and improved it by applying the skills he learned in the Data Visualization course obtaining informative plots.
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@sharra.valdepenas shared her first project on Prison Breaks that demonstrates her curiosity about data science, digging deep into the data, and profound reasoning about the asked questions.
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@brucemcminn shared his well-structured and easy-to-follow project on Empire is the Favorite & Wealthy Educated Americans Watch Star Wars Movies that stands out for its insightful plots and interesting color schemes.
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@alvaro.viudez shared his project on Winning Jeopardy which is noticeable for its excellent documentation, efficient communication of findings, and compact conclusion.
Project reviewer:
@jesmaxavier, together with our Community Moderators, continues being super-helpful to the Community reviewing plenty of projects shared by other students and providing them valuable suggestions and encouragement.
Useful resource sharer:
@Johnsonk51502 shared a comprehensive guide on time series analysis which he found while working on his own individual project on this subject. Looking forward to seeing also your project in the Community, Kevin!
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
- A 7 day extension on your current Dataquest subscription
- An exclusive Community Champion badge in our Community
5 Likes
congratulations to all
3 Likes
Here are our Community Champions for this week:
Dataquest Project sharers:
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@m.awon shared his project on Clean and Analyze the Employee Surveys that stands out for its perfect project stricture, comprehensive and easy-to-follow storytelling, digging deep into the data, thorough data cleaning and analysis, amazing final visualizations, and pretty-printed outputs.
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@bender38 shared two great projects he made this week: Data Cleaning - Employee Exit Surveys and Star Wars survey. Both works are notable for meaningful charts (including those showing missing values) and multi-faceted data cleaning and analysis. What’s more, he worked on a valuable observation from @kwu and analyzed the difference between the biased and corrected data!
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@jasperquak shared his project on Building a Spam Filter with Naive Bayes where he demonstrated his curiosity about the data and attention to details by thoroughly describing each step he undertook to reach 99% of classification efficiency and outlining potential ways forward.
Project reviewer:
@biengioichantroi and our always-helpful Community Moderators reviewed the projects of other learners in the Community, gave them actionable feedback, and showed them their appreciation.
Useful resource sharer:
@Edelberth found an interesting article on Medium and shared it with the Community.
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
- A 7 day extension on your current Dataquest subscription
- An exclusive Community Champion badge in our Community
3 Likes
It’s hard to imagine that I could ever make it here. I’m certainly losing my words and don’t know what to say.
Joining Dataquest is truly a life-changing and humbling experience for me.
Thank you.
3 Likes
same here! 
A&E.
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