Nina K. Jones @NinaData

Christian • Wife • MSc Data Analysis (Bioinformatics) • Data enthusiast #Python #ML #Tableau • History buff nina.clackjones.com Dublin, Ireland Joined July 2019

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Nina K. Jones @NinaData

6 years ago

@ckulkarni7 Thank you for the encouraging words! :) I’m glad that things worked out!

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Nina K. Jones @NinaData

6 years ago

@katemin Thank you very much, Kate! :) I hope that all is well!

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Nina K. Jones @NinaData

6 years ago

@mlabwa Thank you very much! That is kind of you to say. :) Hope that you are doing well!

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Jamil Ahmed @jamilahmed_16

6 years ago

🔬 Springer has Released 65 #MachineLearning and Data books for Free. #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Mathematics #Statistics #Programming #Coding #100DaysofCode bit.ly/3bRovJi

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Nina K. Jones @NinaData

6 years ago

@ressonliao Hi James! Definitely not haha. I merged 2 public domain datasets from kaggle.

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I created a Pokédex using Tableau: tabsoft.co/2QrceTj It includes details about each Pokémon, a radar chart for battle stats and a chart for the effectiveness of different types when battling the Pokémon. Feedback is very welcome! 🙂 #Tableau #Pokedex #Pokemon #PokemonGo

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Antonio Grasso @antgrasso

6 years ago

13 different applications for Artificial Intelligence. A redesigned #Infographic by @antgrasso from @StatistaCharts research. Thank you, @MikeQuindazzi. #AI #DigitalTransformation #UseCases

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Cheuk Ting Ho @cheukting_ho

6 years ago

Since learn #Python is in the #HypeCycle I am going to teach #Python #ZeroToHero every Sunday at 1pm (UK time): twitch.tv/cheukting_ho

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Claudio M. Camacho @claudiomkd

6 years ago

Become a #DataScientist and #MachineLearning Expert in 2020 >>> AnalyticsVidhya via MikeQuindazzi >>> #Infographic >>> #BigData #DataScience #AI #DataViz #DataAnalytics #mpgvip #IoT >>> bit.ly/2R66qy9 #megatrends #digitaltransformation #futuri…

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Robert Zembowicz @rzembo

6 years ago

15 Python Libraries That A Data Scientist Need To Know #DataScience #MachineLearning #DataEngineering via @TDataScience towardsdatascience.com/15-python-libr…

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Udacity @udacity

6 years ago

#COVID19 has changed our lives. In a scenario when education and workforce are experiencing some of the biggest challenges, learning new #skills should be made more accessible. Hence, we're excited to announce one free month on 40+ Nanodegree programs. bit.ly/3al84UT

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Crowdfight @CrowdfightTeam

6 years ago

An initiative from the scientific community to put all available resources at the service of the fight against COVID-19. #crowdfightcovid19 #coronavirus #COVID19 #Covid_19 #COVIDー19

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Nina K. Jones @NinaData

6 years ago

@MalharTakle No worries! :) Let me know if you have any more questions!

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Nina K. Jones @NinaData

6 years ago

How to extract website data with Python's Beautiful Soup library: bit.ly/2Q1oOsb #Python3 #Python #BeautifulSoup #dataextraction #datascraping #Pythontips #Pythontutorial

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Nina K. Jones @NinaData

6 years ago

@MalharTakle Oh I see! I also have a tutorial for how to perform web scraping with Python and RegEx instead of Beautiful Soup: nina.clackjones.com/index.php/2018…

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Nina K. Jones @NinaData

6 years ago

@MalharTakle I personally have only used Python for web scraping. You may have come across this tutorial for scraping with R but here it is just in case: freecodecamp.org/news/an-introd…

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Nina K. Jones @NinaData

6 years ago

@MalharTakle Hi! Should be able to, just soup.find() or soup.findAll() would have different arguments since the relevant info is in <div></div> instead of <table></table>. For example, you could try: soup.find('div', class_='classname').

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Nina K. Jones @NinaData

6 years ago

@vizsmart @Twitter Aww! Congratulations! Happy to contribute! 😊

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Nina K. Jones @NinaData

6 years ago

@lizzzzzielogan Ooh, me! (Be gentle plz 😅)

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Nina K. Jones @NinaData

6 years ago

Bill Gates has officially stepped down from the Microsoft board to focus on philanthropy. bbc.com/news/business-…

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🏴‍☠️ Elise Logan | Permanent Ateez Lockdown 🏴‍☠️ @Elise_Logan

6 years ago

To be clear: this is the fragments and pieces that entered the antiquities market post 2000. The authenticity was questioned from their emergence. There is no indication that the earlier Dead Sea Scrolls are forgeries.

Craig Welch @CraigAWelch

6 years ago

EXCLUSIVE: Today’s holy wow from @NatGeo @michaelgreshko: *ALL* of the Dead Sea Sscrolls in Washington D.C.’s Museum of the Bible are forgeries. All. 16. Of. Them. Collectors, scholars and museum experts were all duped by fakes made in modern times. nationalgeographic.com/history/2020/0…