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.
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.
“Absorb what is useful, Discard what is not, Add what is uniquely your own.”
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 very short period of time, and this is highly recommended to newbies in the data science field. …
“ 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 code users in the python world to help ace the process of writing some lines of code for every project, why don't you just make it a package and reuse whenever you like. …
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:
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. …