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Hey!, I know you must be eager to know what I have to say about data collection and most especially web scraping. But, I came across a very good friend online who goes by the name Todd Park and here what he has to say about data:

“Data by itself is useless. Data is only useful when you apply it”

— Todd Park

As long as the data world is concerned, Todd is absolutely correct and here's why I said that.

Have you ever thought of how restricted or constrained you could be without data?

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With the world’s inclination towards modern media, Python’s programming language has increased its appeal. It has shadowed many careers and developers in Python have many career prospects.

You will work in creative fields like artificial intelligence, computer education, and data science with the knowledge of Pythons programming language. To get there, though, you must first draw employers’ interest. The resume goes in that direction.

A resume gives you the first impression that recruiting managers make of you. …

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The technological world is evolving at a fast rate, so the importance of programming expertise is growing, and the market for programmers is not going to diminish any time soon. More and more individuals are considering programming as a profession.

Luckily, the Internet offers you endless chances to learn to code and find a career. You just need to know a programming language and have internet access to get a job as a programmer. Anybody can become a programmer and make money online.

However, if you’re a novice, you shouldn’t plan to make a lot of money fast. If you’re…

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Making my first dollar through writing as a freelancer wasn’t that easy, but it was so cool seeing what I do pay off in a little way.

Yeah, it was my first $200 from writing as a freelancer and definitely won’t be my last. This amount might be way below your pay grade, but this is actually was a huge milestone for me as a freelance writer in 2020.

I’m sharing this because I know at least 100 different viewers will benefit from this short testimony. So, stay glued, and I promise to keep it short and simple.

How it all started…

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Python is an exceptionally flexible programming language, it has a syntax that is easy to understand and it takes far less time to learn than many other languages out there.

Given this even very advanced creators of python scripts, do not know basic tips and tricks that can often be very helpful. Here’s a list that you need to know of neat tips and tricks.

1. Time Tracking

Absorb what is useful, Discard what is not, Add what is uniquely your own.”

-Bruce Lee

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It takes consistency to keep you going on the right path. A model can be thought of as a mathematical equation used to predict a value, given one or more values. We develop several models that will predict the future of an outcome but without developing these models, these models tend to be useless due to the rapid changes in new data points generated daily.

So, this article aims to explain how linear and multilinear regression and is done using python programming in a…

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Web scraping may be hard to prevent developers from breaking up their website with a variety of techniques, including IP address detection, HTTP request header review, CAPTCHAs, javascript controls, etc. On the other hand, developers can use a lot of analogous strategies to avoid these blocks too, allowing them to build nearly uncoverable web-scrapers. Here are a few short tips about how to crawl a website without being blocked:

1. Usage of Headless Browsers

“ Sometimes while you are so passionately busy building, there will be others as busy destroying. Do not stop. One day you will notice how high above you get, and how down below they end up ”

Sameh Elsayed

The process of building a package is somewhat tedious, but it is worth it in the long run. Just imagine if some haven't built those packages been used now, how would programming have been, most especially for the Data scientists.

I actually saw the need to put this piece out, so as to help new data scientist, programmers and other…

“ You don’t concentrate on risks. You concentrate on results. No risk is too great to prevent the necessary job from getting done.” Charles Yeager

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Most performance problems are unique. The metrics, workload and evaluation techniques used for one problem generally cannot be used for the next problem. Nevertheless, there are steps common to all performance evaluation projects that help you avoid common mistakes. These steps are as follows:

1. State the goals and Define the System

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Have you ever imagined the shuffle behind Reinforcement Learning?

Certain people have certain ways of focusing on things, and some arrange their spectacles to a pinhole to focus only on their goal. Others have a giant spectacle, and they take in the full panorama. I was that pinhole kind of person.

Join me as I take through one of my internships publications at Data Science Nigeria, where I had been exposed to top Industries Experts In this fields in which we all drive towards one goal at raising 1 million AI Talent in 10 years.

Abideen Opeyemi Bello(bideen)

I’m an IBM Certified Data Scienctist with knowledge of Machine learning application, Data Visualization Expertise, and vast knowledge of Tableau, Power BI, etc.

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