Junaid AminWhy do we need non-linear activation functions instead of linear functions in a neural network?Using non-linear activation functions in neural networks is essential for several reasons, and it stems from the limitations of linear…Dec 5, 2023Dec 5, 2023
Junaid AminInverse Label Encoding for Categorical DataInverse label encoding in Python can be done to revert the encoded labels back to their original values. This is often necessary when you…Sep 10, 2023Sep 10, 2023
Junaid Amin“Guardians of the Workforce: Jobs That AI Can’t Replace”IntroductionSep 8, 2023Sep 8, 2023
Junaid Amin“Comparing Data Transformation Techniques: Binning, Encoding, and Splitting in Python”In the realm of data engineering, the process of preparing and transforming data is pivotal for downstream analysis, modeling, and machine…Sep 8, 2023Sep 8, 2023
Junaid AminMultiple Imputation by Chained EquationsMultiple Imputation by Chained Equations (MICE) is a statistical method for dealing with missing data. It is a robust and informative…Jun 16, 2023Jun 16, 2023
Junaid AminDifference between .query , .loc and .filter function in pandas pythonIn Pandas, the query, loc, and filter functions are used to extract and manipulate data from a DataFrame.Feb 5, 2023Feb 5, 2023
Junaid AminDifference between ordinal encoding and one hot encoding in pythonOrdinal Encoding:Feb 3, 2023Feb 3, 2023
Junaid AminMain Groupby() functions used in pandas libraryThe groupby function is a powerful tool in the Pandas library that allows you to split a DataFrame into groups based on some criteria…Jan 2, 2023Jan 2, 2023
Junaid AminType of metrics used in scikit-learn library in pythonScikit-learn is a popular machine learning library for Python that provides tools for training and evaluating models. There are many…Dec 25, 2022Dec 25, 2022
Junaid AminHow to Drop columns where percentage of missing values is greater than 50% in PythonTo drop columns where the percentage of missing values is greater than 50%, you can use the following steps:Dec 25, 2022Dec 25, 2022