Precision & Recall for a Machine Learning Model
Precision attempts to answer the following question: What proportion of positive identifications was actually correct?
Recent Posts
Accuracy Paradox in Machine Learning
Accuracy is one metric for evaluating classification models. Informally, accuracy is the fraction of predictions our model got right. This video explains why...
Supervised & Unsupervised learning in layman’s terms
This is a small video which explains the difference between supervised and unsupervised machine learning algorithms.
How to Query a Machine Learning API in Python
This video explains you how you can query a Machine Learning based API in Python.
What Is Machine Learning?
This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning - supervised, unsupervised &...