Need a data set for fraud detection
jacksparrow Need a Data Set for Fraud Detection Need a Data Set for Fraud Detection? Fraud detection is a crucial task in various industries, from financial institutions to e-commerce platforms. Building…
August 2024
How do I approximate “Did you mean?” without using Google?
How to Approximate “Did You Mean?” Approximating “Did You Mean?” Without Google Implementing a “Did You Mean?” feature like Google’s is complex, requiring sophisticated algorithms and vast datasets. While replicating…
Scikit: calculate precision and recall using cross_val_score function
Scikit-learn: Calculate Precision and Recall with cross_val_score Introduction Scikit-learn (sklearn) is a powerful Python library for machine learning. It provides numerous tools and functions for model building, evaluation, and analysis.…
Open Alternatives to Google Prediction API
Open Alternatives to Google Prediction API Google Prediction API, while powerful, is a closed-source service. This can lead to concerns about data privacy, dependence on a single vendor, and potential…
Q-learning vs temporal-difference vs model-based reinforcement learning
Q-learning vs Temporal-Difference vs Model-Based Reinforcement Learning Reinforcement Learning Algorithms: A Comparison Reinforcement learning (RL) is a powerful technique for training agents to interact with their environments and achieve specific…
Can the value of information gain be negative?
Can the Value of Information Gain be Negative? Can the Value of Information Gain be Negative? Information gain is a key concept in decision tree learning. It measures how much…
Cannot understand with sklearn’s PolynomialFeatures
Unraveling sklearn’s PolynomialFeatures Introduction to PolynomialFeatures in sklearn In the realm of machine learning, feature engineering plays a crucial role in transforming raw data into a form suitable for model…
Apple Vision framework – Text extraction from image
Apple Vision Framework – Text Extraction from Image Apple Vision Framework: Text Extraction from Image The Apple Vision framework provides powerful tools for image analysis, including text recognition. This article…
Unsupervised automatic tagging algorithms?
Unsupervised Automatic Tagging Algorithms Unsupervised Automatic Tagging Algorithms Automatic tagging, also known as keyword extraction, is the process of identifying relevant keywords or tags for a piece of content, such…
Normalized Cross-Correlation in Python
Normalized Cross-Correlation in Python Normalized Cross-Correlation in Python Normalized cross-correlation is a technique used to measure the similarity between two signals. It is a widely used tool in signal processing,…