Cross-validation in LightGBM
jacksparrow Cross-Validation in LightGBM Cross-Validation in LightGBM Cross-validation is a crucial technique in machine learning for evaluating the performance of a model on unseen data. It helps to prevent overfitting and…
August 2024
Want to know the diff among pd.factorize, pd.get_dummies, sklearn.preprocessing.LableEncoder and OneHotEncoder
Understanding Feature Encoding in Python: pd.factorize, pd.get_dummies, LabelEncoder, and OneHotEncoder Feature Encoding Techniques in Python: A Comprehensive Guide In machine learning, categorical features often need to be transformed into numerical…
Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future
Python: DeprecationWarning: elementwise == comparison failed Understanding the DeprecationWarning What it means The warning “DeprecationWarning: elementwise == comparison failed; this will raise an error in the future” indicates a potential…
How to pickle Keras model?
How to Pickle Keras Models Keras models, being powerful tools for deep learning, often require saving and loading for reuse and deployment. While Keras provides convenient methods for saving weights…
Difference between cosine similarity and cosine distance
Difference Between Cosine Similarity and Cosine Distance Cosine Similarity and Cosine Distance: Unveiling the Differences In the realm of machine learning and data analysis, understanding the nuances of similarity and…
Categorical features correlation
Categorical Features Correlation Categorical Features Correlation Categorical features, representing discrete categories or groups, play a vital role in machine learning models. Understanding the relationships between these features is crucial for…
Why use tanh for activation function of MLP?
Why Use Tanh for Activation Function of MLP? Why Use Tanh for Activation Function of MLP? In the realm of Multilayer Perceptrons (MLPs), the choice of activation function plays a…
What is the difference between Big Data and Data Mining?
Big Data vs. Data Mining What is the difference between Big Data and Data Mining? Big Data and Data Mining are often used interchangeably, but they are distinct concepts with…
How to categorize True Negatives in sliding window object detection?
Categorizing True Negatives in Sliding Window Object Detection Understanding True Negatives in Object Detection What are True Negatives? In object detection, a True Negative (TN) refers to a region in…
What type of orthogonal polynomials does R use?
What type of orthogonal polynomials does R use? Orthogonal Polynomials in R R provides a variety of functions for working with orthogonal polynomials, which are widely used in regression analysis,…