End-to-End Machine Learning: Breast Cancer Prediction in R Breast cancer is a disease that affects millions of women worldwide and early detection is crucial for successful treatment. Machine learning algorithms can be used to predict whether a patient has breast cancer based on certain characteristics, such as the size and shape of a tumor. In …
Day: November 27, 2019
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. …
End-to-End Machine Learning: blending in R Blending 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, and then using their predictions to make the final prediction. The idea behind blending is that different …
End-to-End Machine Learning: bagging in R Bagging, short for bootstrap aggregating, is a technique used in machine learning to improve the performance of a model by averaging the results of multiple models. It works by training multiple versions of the same model on different subsets of the data, and then averaging their predictions. In R, …
End-to-End Machine Learning: random search in R When training a machine learning model, it’s important to find the best set of parameters that will give the best performance on new, unseen data. One way to do this is by using a technique called “random search.” Random search is a method of systematically finding the best …
End-to-End Machine Learning: optimal parameter search in R When training a machine learning model, it’s important to find the best set of parameters that will give the best performance on new, unseen data. One way to do this is by using a technique called “parameter search.” Parameter search is a method of systematically finding the …
End-to-End Machine Learning: manual grid search in R When training a machine learning model, it’s important to find the best set of parameters that will give the best performance on new, unseen data. One way to do this is by using a technique called “grid search.” Grid search is a method of systematically working through …