Machine learning and data science are two major key words of recent times almost all fields of science depend on. If data science is inevitable to explore the knowledge hidden in the data then machine learning is something bringing evolution through feature engineering. But the question is are they very different? In this article, these ... Read more

Comparing different machine learning models for a regression problem is necessary to find out which model is the most efficient and provide the most accurate result. There are many test criteria to compare the models. In this article, we will take a regression problem, fit different popular regression models and select the best one of ... Read more

The Naive Bayes classifier is very straight forward, easy and fast working machine learning technique. It is one of the most popular supervised machine learning techniques to classify data set with high dimensionality. In this article, you will get a thorough idea about how this algorithm works and also a step by step implementation with ... Read more

Comparing Machine Learning Algorithms (MLAs) are important to come out with the best-suited algorithm for a particular problem. This post discusses comparing different machine learning algorithms and how we can do this using scikit-learn package of python. You will learn how to compare multiple MLAs at a time using more than one fit statistics provided ... Read more

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