Decision tree classification is a popular supervised machine learning algorithm and frequently used to classify categorical data as well as regressing continuous data. In this article, we will learn how can we implement decision tree classification using Scikit-learn package of Python Decision tree classification helps to take vital decisions in banking and finance sectors like ... Read more

Artificial Neural Network (ANN) as its name suggests it mimics the neural network of our brain hence it is artificial. The human brain has a highly complicated network of nerve cells to carry the sensation to its designated section of the brain. The nerve cell or neurons form a network and transfer the sensation one ... Read more

Logistic regression is a very common and popularly used supervised classification process. When we have categorical data in our hand to make some prediction we tend to apply logistic regression. Classification is a very popular prediction technique. Almost 70% of real-world prediction problems involve categorical variable and hence amenable to classification. Read about supervised machine ... Read more

As you all know that in today’s world of data explosion, machine learning plays a very crucial role to analyze such a huge amount of data. There are several machine learning algorithms which are making our lives easier to handle large database. Random forest algorithm is one of them and can be regarded as the ... Read more

Support vector regression (SVR) is a kind of supervised machine learning technique. Though this machine learning technique is mainly popular for classification problems and known as Support Vector Machine, it is well capable to perform regression analysis too. The main emphasis of this article will be to implement support vector regression using python. Selecting Python ... Read more

Multiple linear regression(MLR) is also a kind of linear regression but unlike simple linear regression here we have more than one independent variables. Multiple linear regression is also known as multivariate regression. As in real-world situation, almost all dependent variables are explained by more than variables, so, MLR is the most prevalent regression method and ... Read more

Simple linear regression is the most basic form of regression. It is the foundation of statistical or machine learning modelling technique. All advance techniques you may use in future will be based on the idea and concepts of linear regression. It is the most primary skill to explore your data and have the first look ... Read more

If you are reading this article, then you are a Machine Learning enthusiast without any doubt. You must have already gone through the theoretical basics of it and getting impatient to try hand in your first Machine Learning application. Python is the most popular programming language for machine learning. I would suggest that if you ... Read more

Unsupervised Machine Learning is a kind of Machine Learning where the algorithm identifies some hidden pattern in the data on its own. This type of Machine Learning is used when there is no labeled data available to train the algorithm.  Unlike Supervised Machine Learning here the input dataset is not tagged with some known answers. ... Read more

The most common type of Machine Learning is Supervised Machine Learning. The nomenclature is due to the fact that the learning process being supervised by the result which is already known. The learning process goes through several iterations. The process continues until the difference between the actual and estimated result comes under an acceptable level.  ... Read more