
Confusion matrix: how to read it the better way?
Introduction Evaluation of a model is an important part of machine learning and it requires reading a lot of metrics. And one of the famous
Learn to Code, But With Fun
Introduction Evaluation of a model is an important part of machine learning and it requires reading a lot of metrics. And one of the famous
Decision Tree vs Random Forest is a topic that is often debated in the machine learning community. Both algorithms are supervised machine learning algorithms and
Introduction Pytorch vs Tensorflow is a well-debated topic in the deep learning community. Both Tensorflow and Pytorch are widely used in Deep Learning. Today, Deep
K Means and KNN are both machine learning algorithms. One is an Unsupervised algorithm used for clustering while the other is a supervised algorithm used
Bagging and boosting are two popular methods of ensemble learning, in which multiple weak models(any individual models) are combined together to generate a strong model.