Bashir Alam In this article, we will learn how to make a triangle in OpenSCAD using various methods. If you have been using OpenSCAD for a while, you might have noticed that there is no proper function to create a triangle in OpenSCAD. Well, we can use some other methods like a cube, polygon, or cylinder to … Read more
Sklearn one hot encoder or one hot encoding is a process of converting categorical values in the dataset to numeric values so that the Machine learning model can understand and interpret the dataset. This step is part of data preprocessing. In this article, we will learn how we can use Sklearn one hot encoder to … Read more
A Pickle is a module in Python that is mostly used to save machine learning and neural network models in the form of binary files. This binary file is known as a pickle. The pickle files have many advantages over a raw model. Once the model is saved as a pickle file, we can easily … Read more
When you want to perform some visualization and you forget to install dtreeviz module, then you will get ModuleNotFoundError: No module named dtreeviz error. This error occurs when you try to access the functions in the dtreeviz module without installing it on your system. In this short article, we will discuss various possible reasons to … Read more
Rainbow in Python is not a function. It is simply creating a rainbow of colors for different purposes. We can use various methods to create a rainbow in Python. It all depends on your requirements and needs, you can use any of the following methods to create a rainbow in Python. In this short article, … Read more
ZeroDivisionError: division by zero error occurs in Python when you tried to divide an integer value with a zero. In mathematics, dividing something with zero is not allowed, and similarly, in Python, it is also not allowed. In this short article, we will discuss how we can solve and handle ZeroDivisionError: division by zero error … Read more
Principal component analysis in Python (PCA) is one of the best and simplest techniques for dimensionality reduction. Dimensionality reduction is simply the transfer of data from high dimensions to low dimensions by retaining all the important attributes and features. The PCA algorithms transform the highly correlated attributes into simple linear uncorrelated ones. In this article, … Read more
Sklearn standardscaler converts the numeric data to a standard scale which is then easy for the machine learning model to analyze. It has been observed that machine learning models perform better when the data is scaled in some specific range, especially the algorithms that are highly dependent on the weight of the input values like … Read more
Unsupervised Learning analyzes and groups unlabeled datasets using machine learning algorithms to find hidden patterns or data groupings without the assistance of a person. Algorithms for unsupervised learning are divided into two categories clustering and association rules. The k-means clustering in Python is one of the clustering methods used in machine learning which belongs to … Read more
Jupyter Notebook is a web-based application that helps us to create Python notebooks and write our code there. Unlike other IDE or text editors, Jupyter Notebook does not have any terminal from where you can install modules. However, to install the module on Jupyter Notebook, you need to run the command inside the cell. In this … Read more