The Premise : Why Am I even Starting a Second Blog

Hey Reader,

Welcome to the first read of this blog!

So now when you have read this title and still reading the article it is important that I introduce you to my first blog. My first blog, initially popular as "The Gossip Lover" was later changed to " The Backyard Lawn" due to some SEO issues. That one is closer to me. I wrote a lot of stuff over years across different platforms and finally gathered the courage to be okay with low visibility yet trustworthy google platform blogger.

A quick background, I am a proud individual, a woman, a daughter, a sister, and a close friend to many. a lot of these very complex roles decide every step that I take in my life. Bla, bla, bla...I am currently a Data Scientist from a non-computer science profile and hence a very fancy LinkedIn profile, probably that's where you found me from. I am going to keep this blog very educational. Talking about what I did to be here and what can help you keep the right attitude towards your career.

Anyway, a lot to learn and talk about in upcoming blogs. Please subscribe to this one and meanwhile check out the other blog I mentioned above. And let me know your views on comments.

See you on the next one!

Take Care.

Cheers

Comments

Data Is the New Oil : From Lenses Of Oil & Gas Industry

Yes, times are difficult but that's what opportunity seekers make the best out of. This pandemic has resulted in a lot of unexpected changes. Most of us don't have a plan anymore because it seems hard to believe when and how our lives would resume. What will the new normal be? Is it ever getting back to the same? Will I ever be able to live my good old life again? How will demand for skills change in near future? What shall we do to maximize the gain from this slow-paced life? With so many questions in their mind, I had an opportunity to talk to a wonderful group of audience in a webinar organized by EAGE RGPIT SC . When I asked them "What is in your mind?" This was their response. People are worried about their careers. With fancy data lingos, everyone is seeking to learn more about them and trying to prepare for a secured tomorrow. Data science has become more and more popular over the last decade. Being a data scientist is now a software engineer of yesterday. Eve

Shell.AI Residency Program India

This is to call for applications to " AI Residency Program " recently launched by Shell India. This a 2-year, full-time, immersive programme, which allows data scientists, AI engineers and computational scientists to gain experience working on a variety of AI projects across all Shell businesses. Recently, Shell India has launched its own, specialized and global programme – bringing digitization – in India to newer heights. Join us, and make history through influencing the future of energy. Along with this, we are also conducting a hackathon for sustainable and affordable energy which gives the winners a direct entry to interviews for Shell AI Residency Program. PS: Jobs will only be offered to people with relevant experience as mentioned in the page while hackathon is open to everyone. Participate and be a part of Journey to a cleaner and more sustainable tomorrow.

pip install xgboost

I have tried a million ways over years to by-pass all the certs/securities but never had a one right way to do this, xgboost is a very popular ml algorithm but been hard to install. This time finally I made it happen. I downloaded the wheel file directly and installed it to make this happen right. I also have a video for this but this article shows step by step process on how to do it right. Here is how: Open command window from start menu in windows: Fig1: Open Command Window Go to the website to find unofficial binaries 👉 here , find the desired .whl file, in this case, we are looking for xgboost, and download the compatible version with your machine and python: Fig2: The Unofficial Binaries Locate the downloaded file on your machine: Fig3: Locate the Files Install from cmd using pip: Fig4: Install the file And you are done, you can also follow these steps from my video here:

Become A Data Scientist

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