Python-bloggers

Want to automate Whatsapp messages? Try PyWhatKit - A Python Whatsapp automation library.

We’re happy to announce a new data science in Python course by Appsilon has been released and is available to everyone for free, as open-source material! Check out the course repository on GitHub!  The course is a great way to introduce yourself to the Data Science world. It does ...

There’s one major problem with ChromeDriver: anti-bot services are able to detect that a browser session is being automated (as opposed to being used by a regular meat sack) and will often impose restrictions or deny connections altogether. The Undetected ChromeDriver (undetected-chromedriver) Python package is a patched version of ...

Ridge regression belongs to a family of regression called regularization regression. This family of regression uses various mathematical techniques to reduce or remove coefficients from a regression model. In the case of ridge, this algorithm will reduce coefficients close to zero but never actually remove variables from a model. In ...

Here at Jumping Rivers we like to keep our courses up to date so we can bring you training on the latests tools and technologies. To this end, we have recently added two new courses to our listing...

It’s finally here! Along with it’s announced rebranding to ‘Posit’, RStudio also released it’s alpha version of ‘Shiny for Python’. Here’s how you can get started creating and deploying Shiny apps in Python.Set-upThe first step is going to be installin...

I have recently updated my extensive analysis of the popularity of data science software. This update covers perhaps the most important section, the one that measures popularity based on the number of job advertisements. I repeat it here as a blog post, so you don’t have to read the ...

Hyper-parameter tuning is one way of taking your model development to the next level. This tool provides several ways to make small adjustments that can reap huge benefits. In the video below, we will look at tuning the hyper-parameters of a KNN model. Naturally, this tuning process can be used ...