Mathematical explanation for Linear Regression working
Suppose we are given a dataset Given is a Work vs Experience dataset of a company and the task is to predict the salary of… Read More »
Suppose we are given a dataset Given is a Work vs Experience dataset of a company and the task is to predict the salary of… Read More »
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 the recent time it has gained a lot of popularity because of… 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 machine(SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. It is… Read More »
Suppose there are set of data points that needs 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 behavior and judgment 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 »