Category Python Programming Examples

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…

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…

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…

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…

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…

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…

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…

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…

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…

In intraday trading, predicting the direction of stock prices, market prices, and other risk factors is of utmost importance as a lot of money is leveraged. This is done with the help of bot trading which implements different machine learning…