IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation The IRIS flower is a popular example in the field of machine learning. It is a type of flower that has different variations, such as the setosa, virginica, and versicolor. In this blog, we will be discussing how to classify the IRIS …
IRIS Flower Classification using SKLEARN DecisionTree Classifier with Grid Search Cross Validation The IRIS flower is a popular example in the field of machine learning. It is a type of flower that has different variations, such as the setosa, virginica, and versicolor. In this blog, we will be discussing how to classify the …
End-to-End Machine Learning: Glass Type Prediction in R Glass type prediction is a machine learning task that involves identifying the type of glass based on certain characteristics such as the glass’s refractive index, sodium content, and magnesium content. Different types of glass have different properties and uses, for example, tempered glass is used for car …
End-to-End Machine Learning: stacking in R Stacking is a technique used in machine learning to improve the performance of a model by combining the predictions of multiple models. It works by training multiple models on the same dataset, then using their predictions as input to a new model called meta-model, which makes the final prediction. …
Classification in R – classification and regression tree in R In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – classification and regression tree in R. Classification in R – classification …
Classification in R – C5.0 in R In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – C5.0 in R. Classification in R – C5.0 in R Personal Career & Learning …
Beginner’s Project on Binary Classification in Python – Sonar Dataset Binary Classification is a type of machine learning problem where the goal is to classify instances into one of two classes. The Sonar Dataset is a popular dataset for binary classification problems, which is used to distinguish between metal cylinders and rocks from a sonar …
Beginner’s Project on Multi-Class Classification in Python Multi-class classification is a type of machine learning problem where the goal is to classify instances into one of multiple classes. This is different from binary classification, where the goal is to classify instances into one of two classes. There are several algorithms that can be used for …
Applied Machine Learning with Ensembles: Voting Ensembles Voting Ensemble is a machine learning algorithm in Python that combines multiple models to create a strong model. It is a type of ensemble method, which is a technique that combines the predictions of multiple models to improve the performance. The Voting Ensemble algorithm starts by training multiple …
Applied Machine Learning with Ensembles: Extra Trees Ensembles Extra Trees Ensemble is a machine learning algorithm in Python that combines multiple decision tree models to create a strong model. It is a type of ensemble method, which is a technique that combines the predictions of multiple models to improve the performance. The Extra Trees algorithm …