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Articles tagged with #data-science
What is Artificial Intelligence? “Providing intelligence to a machine” is what we call artificial intelligence. This is the most simple, appropriate, and logical one-line definition of Artificial Intelligence (AI). Artificial means a system that has ...
Ensemble method is a technique in which we take a group of the #ml models and then we combine the predictions of those models to produce optimal predictive model. Ensemble means a group. Steps: Use the ensemble and make prediction Then calculate a ...
Enhancing model quality with cross-validation in Machine Learning 🤖 Cross-validation is a modelling process where the data is divided into multiple folds (pieces) and then we perform experiments by taking each fold at a time and considering it as a ...
Steps to handle missing values: Drop the columns that has missing values Here, we drop the columns that have missing values. With this approach, there is a chance that we may lose access to lot of useful information. You should use this approach ...
Do you know how to split the #datasets in Machine Learning? 🤔 If you want to become a data scientist 👨💻, then you must be good at working with datasets. Being familiar with the dataset is the first step towards building ML models. Before working ...
Prediction Target It represents the output of an ML model. For example, In a supervised learning algorithm, if you are developing a model for predicting house prices then your dataset will have a “Price” column, so this column will be your predicti...
