Python Programming Examples

It has become the need of the hour to use machine learning models and neural networks to detect fraud. The availability of modern technology has enabled us to detect scams without having to identify and scrutinize everything manually. In the era where digital currency dominates, the authentication of physical currency becomes more and more questionable. […]

Tensorflow is one of the most popular and widely used software applications in the world. Developers use it to create and implement deep learning algorithms. Even though it is popular for being easy to use, sometimes users might face difficulty when downloading and installing it in their system. These problems are mainly caused by dependencies,

Non-parametric statistics do not assume any strong assumptions of the distribution, which contrasts with parametric statistics. Non-parametric statistics focus on ranks and signs along with minimal assumptions. Non-parametric statistics focus on analyzing data without making strong assumptions about the underlying distribution. Python offers various methods for exploring data distributions, such as histograms, kernel density estimation

Maximum a posteriori ( MAP ) is an estimation technique that estimates the most probable value ( mode ) of an unknown quantity of some data. In this article, we calculate MAP using the combination of prior distribution and likelihood function which is Posterior Distribution. The posterior distribution reflects the belief about the unknown quantity

McNemar’s test is a statistical method used to compare paired categorical data with two categories, often used to evaluate the effectiveness of a treatment or intervention. It involves creating a 2×2 contingency table, calculating the test statistic, and comparing it against a chi-square distribution to determine statistical significance. Recommended: Understanding Bootstrap Statistics Understanding McNemar’s Test

As with any software or programming language, they evolve and the older versions reach the end of their support life cycle. The developer team no longer wants to update older versions when newer ones appear. The team only wants to keep the newer versions up-to-date so that they can support other applications and focus on

Undeniably, the crucial component of any project(small, large, or any real-world project) is the data we work on. Especially for machine learning and data science projects, gathering and cleaning datasets is the most significant step of the project pipeline. Data collection and preprocessing of the data should be performed correctly so that the model learns

In Linux, handling and analyzing file systems is easy because it provides commands like ‘du’ which provides the summary of directories and their sizes. But, you can also achieve a similar purpose by using modules in Python. Here we deep dive into its implementation. Also Read: How to check if a process is still running

Python is a language that can be used in collaboration with other tools in our system. It is because of its versatility and ease that Python is changing the way we communicate with our devices. Today, we will learn how to run Python functions from the command line. Also Read: Python argparse Module – Parse

The random forest model in Python is a powerful and versatile algorithm that is used for both regression and classification tasks. The “forest” in random forest comes from the fact that a bunch of decision trees are clubbed together to formulate the model, hence the name random forest. It comes under the category of ensemble