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This article is based on the very famous and important Empirical rule which is a powerful application of Gaussian Distribution.
In this article, we are going to learn about Preventing Overfitting Using ridge and lasso and Regularization Techniques with python codes
Gradient descent is an optimization algorithm used to optimize neural networks and many other machine learning algorithms.
In this article, we will explore how to Detect Face Masks Using Transfer Learning and PyTorch in Python and create models to stop covid-19
Discover probability distribution functions, their formulas, types like PDF, PMF, and CDF, and explore discrete and continuous distributions.
Change Data Capture (CDC) is a set of technologies that enable you to identify and capture the previous states of the data so that later
Here, we are going to learn about creating a data science python package with the magic function "%%witefile " of the jupyter notebook
NLTK is a standard python library that provides a set of diverse algorithms for NLP. Let's perform NLP tasks using NLTK library
In this article, we explore Linear Predictive Models further and explore ridge and lasso regularization that data scientists should know
Julia is a high-level and language that can be used to write code that is fast to execute. Here we will see use of Julia for data science.
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