Multi-Class Classification

Machine Learning for Beginners – A Guide to compare different ensemble techniques with scikit-learn in Python

Machine Learning for Beginners – A Guide to compare different ensemble techniques with scikit-learn in Python.

How to implement Random Forest Algorithm with Python and Scikit-Learn

  How to implement Random Forest Algorithm with Python and Scikit-Learn Random forest is a type of supervised machine learning algorithm based on ensemble learning. Ensemble learning is a type of learning where you join different types of algorithms or same algorithm multiple times to form a more powerful prediction model. The random forest algorithm combines multiple algorithm …

How to implement K-Nearest Neighbors Algorithm in Python and Scikit-Learn

  How to implement K-Nearest Neighbors Algorithm in Python and Scikit-Learn The K-nearest neighbors (KNN) algorithm is a type of supervised machine learning algorithms. KNN is extremely easy to implement in its most basic form, and yet performs quite complex classification tasks. It is a lazy learning algorithm since it doesn’t have a specialized training phase. Rather, …