To manipulate numbers according to our needs, we need to break them down into smaller components. Let me be more specific. Floating point numbers can be broken down into their constituents for various complex computations and usage in different fields…
Solving systems of linear equations is useful in many areas like science and math. Normally, you would use a math library in Python like Numpy or SymPy to solve them. But for simple problems, we don’t need complex libraries. In…
When trying to assess the performance of our machine learning model for various classification tasks, accuracy might not be enough. Most of the time when we use an imbalanced dataset, the accuracy of the model might be misleading in evaluating…
The ROC-AUC score tells us how well a machine learning model can separate things into different groups. ROC-AUC stands for “Receiver Operating Characteristic – Area Under Curve”. The score is between 0.5 and 1. A score of 0.5 means the…
Logistic regression is a kind of statistical model that is used for predictive analytics and classification tasks. In statistics, logistic regression is used to predict the probability of an event happening which is mainly in binary, that is 0s and…
The definition of optimization is to make the best out of something. It is the process of finding the most efficient way of doing or performing specific tasks to achieve the required results. There are various elements of optimization, and…
In this tutorial, we will go through what short-circuiting is in Python and how can we use it in our code. We’ll also find out how the ampersand symbol and the vertical bar character can be used in Python for…
In Python, you can create as many virtual environments you want. Virtualenvs are environments which are created by the user to keep their projects separate from one another. You might ask, “But, why would I need a virtualenv? I can…
The anaconda distribution is an effective tool for carrying out complex scientific computations related to analytics and data science in Python and R. It is free to use and open source. It is similar to a hub for various Python…
Anaconda is a distribution primarily for the R and Python programming languages, designed for data science applications. It is one of the largest free and open-source distributions, providing a vast array of tools for complex data science computations and data…