Decision Tree Algorithm in Data Mining
Decision trees, and data mining are useful techniques these days.A decision tree is a hierarchical relationship diagram that is used to determine the answer to an overall question. It does this by asking a sequence of sub-questions related to that question. Each branch of the diagram represents a possible choice or answer to a specific sub-question. And… (0 comment)

Data Mining is the process of identifying trends in large data sets. Steps are as following: Business understanding Data understanding Data preparation Modeling Evaluation Deployment The data is usually collected and stored in data warehouses. Then we apply suitable data mining algorithms for identifying trends. Most popular algorithms are clustering and regression trees. Data Mining can… (0 comment)

A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers between the input and output layers. DNNs can model complex non-linear relationships. DNN architectures generate compositional models where the object is expressed as a layered composition of primitives. The extra layers enable composition of features from lower layers, potentially modeling… (0 comment)

What Is Data Wrangling?
Data wrangling is the process of cleaning, structuring and enriching raw data into a desired format for better decision making in less time. In other words, it is the process of cleaning and unifying messy and complex data sets for easy access and analysis. With the amount of data and data sources rapidly growing and… (0 comment)

During the processing of data cleansing, it is often required to remove duplicate values from the database. A very useful application of subsetting data is to find and remove duplicate values. R has a useful function, duplicated(), that finds duplicate values and returns a logical vector that tells you whether the specified value is a duplicate of… (0 comment)