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Category Archives: Machine Learning

In linear regression, the model targets to get the best-fit regression line to predict the value of y based on the given input value (x).… Read More
CNN is basically a model known to be Convolutional Neural Network and in recent times it has gained a lot of popularity because of its… Read More
Association rule mining finds interesting associations and relationships among large sets of data items. This rule shows how frequently a itemset occurs in a transaction.… Read More
Tensorflow is an open-source machine learning library developed by Google. One of its applications is to developed deep neural networks. The module tensorflow.nn provides support… Read More
Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent… Read More
In machine learning, while working with scikit learn library, we need to save the trained models in a file and restore them in order to… Read More
Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular… Read More
Prerequisites We will briefly summarize Linear Regression before implementing it using Tensorflow. Since we will not get into the details of either Linear Regression or… Read More
In machine learning, Support vector machines (SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. It… Read More
Suppose there are set of data points that need to be grouped into several parts or clusters based on their similarity. In machine learning, this… Read More
tf-idf stands for Term frequency-inverse document frequency. The tf-idf weight is a weight often used in information retrieval and text mining. Variations of the tf-idf… Read More
The data that is download from web or other resources are often hard to analyze. It is often needed to do some processing or cleaning… Read More
Artificial Intelligence is a piece of software that simulates the behaviour and judgement of a human or an organization that has experts in a particular… Read More
Gradient Descent is an iterative optimization algorithm, used to find the minimum value for a function. The general idea is to initialize the parameters to… Read More
Prerequisites: Introduction to ANN | Set-1, Set-2, Set-3  An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the brain. ANNs,… Read More

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