Support Vector Machines Support Vector Machines is yet another model that is commonly used to solve data classification problems. Previously, we looked at different approaches to classification such as K-means…Continue readingSupport Vector Machines
Random Forest Random forest, as the name suggests is a collection of randomly generated trees. In effect, it takes the consolidated result of several randomly generated decision trees based on…Continue readingRandom Forest
Decision Tree While a Decision Tree may sound like a fancy term, it is something most people are probably familiar with. Basically we attempt to classify objects based on asking…Continue readingDecision Tree
K-means Clustering Classification is the technique where we attempt to group data based on their similarities and thereby to categorize them. For example, if we wanted to categorize fresh produce…Continue readingK-means Clustering
Regression with scikit-learn Today we are going to look at how we can perform Regression with scikit-learn. In fact scikit-learn is an open source python library that can perform more…Continue readingRegression with scikit-learn
