Machine Learning

Python is used in various fields from web development to data science. As it is also technology, Python can sometimes encounter errors that can be frustrating for developers. One of these errors is the Fatal Error: init_import_size: Failed to import the site module.” In this blog post, we will explore what causes this error and […]

The error message “NotImplementedError: Cannot copy out of meta tensor; no data!” commonly occurs when we are working with PyTorch models that are initialized on the meta device but are being transferred to a different device (like CPU or GPU) without the necessary data being loaded. This error comes in various contexts and particularly when

Unboundlocalerror local variable referenced before assignment is a common error when we are dealing with variable scope within functions. The cause of the error is referring to a local variable before it has been assigned a value. In this blog we will see the error code snippet with Unboundlocalerror local variable referenced before assignment and

Missing data is a common problem in data science domain. When we are collecting raw data from the environment we get lot of missing values. In Pandas missing values are typically represented as nan (Not a Number). Dropping rows with nan values helps us to maintain the integrity of our analysis by ensuring that only

Understanding pandas dataframe append deprecated. Recent deprecation of ‘DataFrame.append’ method in Pandas has created a discussion point amongst data scientists and developers. As we move to Pandas 2.0, this method is no longer recommend to be used which leads developers to use ‘pandas.concat’ for appending data. By using ‘pandas.concat’ we enhance performance in data manipulation

When we are performing data cleaning, data manipulation or data wrangling we need to extract a text between strings, characters or delimiters. In this blog post we will explore different methods to extract text between two strings in Python. We will see approaches for handling multi-line text and using regular expressions Get text between two

In Python, when we develop big projects it is difficult to write all the code in single file. The code is divided into sub files which help to modular the code. It make our debugging and understand of project structure better. One common scenario that developers encounter is, how to import Python files from the

What is the “Python Got Multiple Values for Argument” Error mean? In simple terms, the “multiple values for argument” error occurs when we pass more than one value for arguments of the function or method and Python doesn’t know which one to use. When we define a function or method we specify the arguments or

What is regularization ? Regularization is a technique in machine learning for preventing overfitting and improving model generalization. Some examples of regularization techniques are L1 Regularization (Lasso), L2 Regularization (Ridge), Elastic Net, Dropout, Early Stopping etc . Note: The coefficients represent the estimated weights for each feature in the model in context of Lasso and