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…
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…
The ‘if’ statement is one of the most widely used conditional statements in Python. It is simple and easy to implement as is one of the very first things that beginners learn when they are learning any programming language. Even…
Effect size measure is one of the most important tools in statistical analysis. Effect size measures determine the strength of the relationship between two groups and their degree of difference. For example, if we have two groups in a class…
Tensors are primary data structures that are used widely for various purposes. Pytorch is a popular library in Python that contains these structures for various uses among researchers and data scientists. Similarly, the numerical Python or NumPy library is also…
Visualization is one of the most important parts of computation. From a very young age, we are advised to visualize coordinates on the x-y plane and to learn theoretical concepts using tools like flowcharts and diagrams. Visualization using various colors…
In today’s world where we have face recognition security systems and driverless cars, we need to know how images and image processing work. Some numerous tools and tricks make image processing easier. Using models such as convolutional neural networks and…
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…