Feature Engineering and Feature Selection for Beginners and Non-Python and Machine Learning Tutorial — They say the data is the new oil, but we don’t use the oil directly from its source. It must be processed and cleaned before using it for different purposes. The same goes for data, we don’t use it directly from its source. It also needs to be elaborate. This…

In this post, you will have an overview of the scikit-learn library. — If you are a Python programmer or are looking for a robust library that you can use to bring machine learning to a production system, then one library you will want to consider seriously is scikit-learn. In this post, you will have an overview of the scikit-learn library. Where was Scikit-Learn born? David Cournapeau…

Let’s see how one can create columns using a loop. — Very often we happen to want to add a column to our dataframe that has values ​​based on those of other columns. Usually, this new column needs to perform a summarizing function, putting the data in order. Of course, we can create such a column with the help of the…

Two of the best ways to normalize the input data in python with sklearn In this post, I’ll try to explain how to Normalize the data in the simplest way possible. What is Normalization? Normalization is the process of scaling down data(in simple words). Usually while normalizing we change the scale of the…

History of Quantum physics and its importance. — Maybe not everyone knows what quantum physics is. A much debated, fascinating, and capable of revolutionizing the idea we have of the universe that surrounds us. Some have embraced quantum discoveries as a way of seeing existence. So what is behind this relatively new discipline? …

Working with dates holds very unwelcome surprises due to the different formats they can take. In this short article, we will see how to choose the format we prefer, thanks to the Python pandas library. European or American? Here we are grappling with the age-old question: European or American format? …

Changing the index of a dataframe to pandas and its advantages. — When we generate a dataframe or import a dataset with pandas, it automatically creates a column that acts as an “index”. …

With the RHIC accelerator, the researchers projected two “clouds” of gold ions against each other… — A phenomenon through which matter can be generated directly only with light was demonstrated in an important experiment conducted by a team of scientists who used the Relativistic Heavy Ion Collider (RHIC), an accelerator of the Department of Energy. of the United States located at Brookhaven National Laboratory.

Null values ​​can be a source of problems and annoying headaches when we are working with datasets. In this short article, we will see how to identify them and proceed with their removal. — Where are null values? Let’s imagine we have a data frame called df and don’t know if it contains null values. We can check immediately with the command df.isnull(). print ( df.isnull() ) If you're using the Jupyter Notebook, you can omit the print command, you can simply use