Thank you @Elena_Kosourova for the recognition. I’m very pleased.
I appreciate your kind recognition @Elena_Kosourova It’s really a pleasure being part of this great and wonderful community.
Thank you again! I am learning a ton and the community has been very helpful!
Thank you Ma’am. The quest continues.
Here are our Community Champions for this week:
Individual Project sharer:
@giovanni.srg shared a high-quality machine learning project on Support Vector Classifier with Python where he used the SVC algorithm to classify the level of customer satisfaction of an airline. The project is noticeable for its excellent explanations, insightful plots of various kinds, and the high accuracy achieved by the algorithm.
Dataquest Project sharers:
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In his R project on Analysis Of The Factors Affecting Forest Fires, @abomayesan has done an incredible job by providing the necessary background information, clearly stating the goal, creating an informative narrative, and making amazing visualizations that complement the project’s findings.
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@anna.strahl shared an awesome project on Finding Indicators of Heavy Traffic on Westbound I-94 where, in addition to digging deep into the data and providing excellent storytelling, she came up with uncommon figures to corroborate her conclusions and spotted very curious ideas for further investigation.
Project reviewers:
@vishallbabu5 and @Ezemonye_Omereji, together with our amazing Community Moderators @wanzulfikri and @artur.sannikov96, were of great help to other Dataquesters looking through their projects and writing valuable reviews and the words of encouragement on their hard work.
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
Here are our Community Champions for this week:
Individual Project sharer:
In his individual project on Data Analysis for petrol prices from the Shell Garage, @Frankie build on the skills he has learned doing a guided project and investigated current petrol prices in the UK. The work of Frank is
concise but insightful and, as one of the interesting conclusions, demonstrates the way of how a UK driver can save up to £408 just by avoiding the most expensive petrol stations.
Dataquest Project sharer:
@abomayesan shared another excellent R project on Investigating SAT bias Using NYC Schools in which he analyzed factors that impact the SAT scores in NYC schools. In this perfectly organized and easy-to-follow project, Abomaye showcased his excellent data visualization skills and provided informative and well-presented explanations of the findings.
Project reviewers:
@Casandra_Hayward, @Ezemonye_Omereji, and our always-helpful Community Moderators reviewed their peers’ guided and personal projects and gave them great ideas on how to further improve their work.
Useful resource sharer:
@Edelberth shared interesting information about upcoming data science conferences here and here and, for those who are learning Power BI, some helpful forums.
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
Thank you Dataquest community, and thank you @Elena_Kosourova. Your appreciation means a lot to me.
Well done buddy , keep up the good work
Thanks you and you too.
Here are our Community Champions for this week:
Dataquest Project sharer:
@Philip shared a well-structured project on Building a QueryHandler for an Online Laptops Store using excellent coding skills which allowed him to focus on algorithm optimization and show off his solid knowledge of object-orientate programming.
Project reviewers:
@OlutokiJohn and @Ezemonye_Omereji, together with our amazing Community Moderators, gave valuable feedback on the guided projects shared by other students.
Useful resource sharers:
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@hellodataworld told us about a new Notebook platform with various convenient features.
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@nrwprad shared a simple and fast Python script to convert video to GIF.
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@giovanni.srg created and shared a notebook where he outlined fundamental concepts of hypothesis testing applied to linear regression models and the math behind them.
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@Edelberth shared a web resource on various methods of data cleaning and also posted the info about an upcoming machine learning webinar.
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
Thank you so so much @Elena_Kosourova I’ll continue to improve in effort to better the community.
Thank you! I wasn’t expecting it.
Thank you very much