Collaborative Approach

Random Picks

• Categorical Class Labels: In data science, categorical class labels refer to a type of data that represents a set of possible categories or classes that an observation can belong to. These labels are used in supervised learning algorithms to train models to predict ... Read More >>
• Fairness Metrics: Fairness metrics are quantitative measures used to evaluate the fairness of machine learning models. These metrics are used to assess whether a model is biased towards certain groups of people based on their race, gender, age, or other prot ... Read More >>
• Association Rule Mining: Association Rule Mining is a technique used in Data Science to discover interesting relationships or associations between variables in large datasets. It involves identifying frequent patterns or sets of items in the data and then using the ... Read More >>