Snehal Gokhale

Cross Validation In Machine Learning

Cross validation is an important term in machine learning and deep learning models. Every machine learning and deep learning model predicts results, and we need to verify them. Cross validation is used for verification of the predictive ability of machine learning and deep learning models. In cross-validation, many subsets of data from training and testing samples are collected […]

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What Is Cross Entropy In Python?

Cross entropy is a differentiative measure between two different types of probability. Cross entropy is a term that helps us find out the difference or the similar relation between two probabilities. There are two different types of distributions in any model i.e. The predicted probability distribution and the actual distribution, or true distribution. Cross entropy

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How To Use StringIO In Python3?

The StringIO is a class that comes under the scope of the ‘io’ module. This module mainly deals with the I/O operation and tasks. The different sections related to I/O are files, I/O streams, buffers, and other files handled with the help of this ‘io’ module. In Python, if the data is present in the

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Fixed digits after decimal with F-string

The F-string is a formatting te­chnique that allows Python programmers to format strings quickly and easily. By adding the­ letter ‘f’ as a prefix in the­ syntax, developers can utilize­ this popular method for its efficient e­xecution and straightforward syntax. Its convenience­ surpasses alternatives such as the­ str. format() method or % formatting. This narrative

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Fibonacci Generator Using Python

The Fibonacci sequence is a mathematical formula that arranges elements in an interesting arrangement, as each element in the sequence is the sum of the previous two elements. This numerical phenomenon is utilized in various computer languages such as C, C++, JAVA, and Python, but regardless of the language, the logic behind its implementation is

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Deep Learning Using PyTorch In 7 Steps

Deep learning models developed by PyTorch are used to predict the results of some complex problems like speech/ image recognition systems, Classification, and regression problems. The PyTorch library is used to develop these models in Python language. Now, let’s go through the concept of deep learning using PyTorch. Different Machine learning and Deep learning models

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