After learning about the Supervised Learning, we will talk about the Unsupervised learning. So, What is unsupervised learning? DEFINITION:- Unsupervised Learning is the learning algorithm used in machine learning which do contains training examples but with no label on it. Here,Clustering is the most important aspect used in unsupervised learning. clustering is the task of dividing …
Category Archives: Tech
Support Vector Machine
SVM(Support Vector Machine) is a machine learning algorithm used for both classification and regression problem.It is mainly used for Classification problem in which the set of training examples is divided into further parts. we perform classification by finding the hyper-plane that differentiate the two classes very well (look at the below snapshot). There are ways by which …
Spam Classifier
Spam Classifier is one of the basic project we do implementing Machine Learning. While building the projects there are some key points which we need to keep in mind:- Collect lots of data(Collect those word which occur frequently in spams) Take sophisticated features(which gives header in spam emails) Develop algorithms to process your input in …
Bias vs. Variance
In this section we will learn about bias and variance which is one the factor of contributing error in our prediction.Not only, by using high degree of polynomial, we can reduce the training error but also by understanding about the Bias and variance.So what actually is Bias and variance? High bias (underfitting): both Jtrain(Θ) and JCV(Θ) will be high. …
Evaluation Of Our Hypothesis
Machine learning is not all about creating a data model which can predict the answer based on the given training set but also to improve the efficiency of our Model by checking for errors. There are many ways to check for error, which can be given as:- Getting more training examples Trying smaller sets of …
The Thesis Whisperer 