Announcing the Community Champions for this week!

Last few days left for this month’s Writers Contest. So, send in your entries ASAP!

Here are the Community Champions for last week: :tada:

Writers:

I’m so excited that we published so many amazing articles last week! :star_struck: Here they are:

Guided Project sharers:

Last week, 2 of the most notable Guided Projects were shared by new learners who haven’t been Community Champions yet. Exciting!

  • First is @chefpaul92’s project on Heavy Traffic on I-94W.

    It stands out for its easy-to-follow project structure, clean code and its efficient documentation (code commenting and function description), well-formatted output printing, and great storytelling, especially the visual representation of traffic by hour.

  • Second I want to highlight @adbandy’s work on Predicting Bike Rentals in Washington DC.

    They have demonstrated a geniune curiosity to the data following a non-conventional path for project completing, digging deep into the data, obtaing interesting insights supplemented with plenty of cool and various visualizations.

Guided Project reviewers:

If you have considered reviewing your peers’ projects in this community, check out this Playbook: How to give quick, helpful feedback on a project shared in this community - #2 by brayanopiyo18.

This week I want to highlight @Rucha and @brayanopiyo18 for leaving thoughtful feedback on Guided Projects shared in our community.


Thank you all for sharing your excellent work in our community! :clap: :heart:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champions badge in our Community :medal_sports:

4 Likes

Thanks @nityesh for the recognition.
Congratulations to all the champions!

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Hi @nityesh

I must admit I was surprised to find my name here. :slight_smile: Thank You as always.

Best wished to all the champions!

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Im honoured. Thank you!

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Congratulations to all the champions!

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Writer:

Guided Project sharers:

  • @vadim.maklakov’s latest project on Predicting House Sale Price deserves a special mention.

    It demonstrates a very detailed and profound data analysis applying both linear and ridge regression, comparing their results, clean and easy-to follow code, output format, and efficient variable naming.

  • @dadp2551’s has also shared an awesome project on Exploring Hacker News Posts.

    It stands out for its excellent structure, emphasizing all the important points, completing extra tasks, using functions to optimize the code, and an efficient summary of results.

Guided Project reviewers:

One of the best ways to use this community is by checking out your peers Guided Projects and leaving a quick feedback on them.

I want to highlight @Elena_Kosourova and @artur.sannikov96 for doing an amazing job of this in the past week!

You too can join the party by checking out some of the Guided Projects that are being shared in the community. It doesn’t even take too long! Here’s a playbook to help you.


Thanks a lot for participating in our community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champions badge in our Community :medal_sports:

6 Likes

Thanks a lot, Nityesh! :heavy_heart_exclamation: Great job champions, congratulations! :muscle::trophy:

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Thanks @nityesh! Congratulations, champions, you make this Community better :grinning_face_with_smiling_eyes:

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Thanks @nityesh!
Congratulations all champions too!

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Folks, we’ve announced the August Writers Contest - check out how to participate here!

Now, here are our Community Champions for the last week: :tada:

Guided Project sharers:

  • @vadim.maklakov investigated additional resources and did a great job on Predicting the stock market.

    They used both lasso and linear regressions, compared both approaches, and obtained interesting insights and conclusions. What’s more, their project stands out for its efficient code and excellent function documentation.

  • @alekseikondratenko7 shared an awesome project on Building a Spam Filter with Naive Bayes.

    Here, they not only applied the recommended manual approach but also tried scikit-learn classifier, obtaining even higher accuracy in their experiment. Their work also demonstrates clean and perfectly commented code, cool storytelling, and mathematical references.

Guided Project reviewers:

This week I want to highlight @LucaVehbiu and @brayanopiyo18 for giving an awesome feedback to their peer on their Guided Project. :heart:


Thanks a lot for participating in our community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champions badge in our Community :medal_sports:

4 Likes

Thanks @nityesh!
Congratulations all champions too!

3 Likes

Thanks alot @nityesh for the recognition.
Congratulations to all the champions!

1 Like

Well done Champions:) Congratulations to all!

I really liked your project @alekseikondratenko7! It’s very professional-looking :slight_smile: Happy coding!

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Hey everyone! Here are the champions for this week: :tada:

Writers:

Guided Project sharer:

  • @dadp2551 shared an awesome project on Exploring eBay Car Sales Data.

    It stands out for its perfect structure, clear goals, efficient emphasizing, revising all the resulting tables in the summary of results, and clean code highly optimized by introducing various functions.

Guided Project reviewer:

This week I want to recognise @artur.sannikov96 and @Elena_Kosourova for continuing to provide helpful feedback to the projects shared in this community! :raised_hands:


Thanks a lot for participating in our community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champions badge in our Community :medal_sports:

4 Likes

Thanks, @nityesh. This type of recognition always inspires me to make more cool projects and explore the topic outside of the project’s guide.

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Thanks, @artur.sannikov96! I have to mention that Dataquest has an amazing project style guide that I simply follow using some minor modifications :blush:.

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Thanks a lot for your recognition, Nityesh! :heavy_heart_exclamation: Congratulations to all the champions, keep up this high level! :partying_face:

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Thank you for the recognition @nityesh! It’s always nice to review other’s projects, this is so valuable for my own learning process:)

Congratulations, Champions!

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Congratulations to this week’s community champions. Let’s continue soldiering as we allocate more time and effort to our learning. The future is actually brighter than it seemed with well qualified and skilled data scientists. Thanks for this new initiative that aims at boosting our morale @nityesh

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Hey everyone! I’m back with the weekly Community Champions announcement: :partying_face:

Guided Project sharers:

  • @davidrodriguessp shared a cool project on Building a Machine Learning Model to Predict House Prices.

    It has an original introduction, interesting storytelling, informative conclusion, well-commented code, and plenty of insightful visualizations.

  • @radiofireworks shared another project on Star Wars survey.

    This stands out for its perfect structure, easy-to-follow code, digging much deeper into the data, excellent storytelling, very informative conclusion, and custom visualizations.

  • @adam.kubalica has redone his previous project on Exploring eBay Car Sales Data and introduced a lot of improvements to it.

    Adam’s work demonstrates profound data cleaning and analysis, fantastic visualizations, great storytelling, very curious findings, attention to details, and emphasis on the most important insights.

Guided Project reviewers:


Thanks a lot for participating in our community, y’all! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champions badge in our Community :medal_sports:

5 Likes