Linear regression is the most widely used supervised learning algorithm. It is used for predicting the value of a variable based on input data. For example, forecasting sales in upcoming months based on marketing expenditure OR predicting the stock price range in the upcoming year. In other words, Linear regression is a type of regression … Read more Linear regression | Machine Learning
Linear and Logistic regression algorithms are the most commonly used supervised learning algorithms in today’s machine learning world. But still, lots of people face confusion between them. So in this article i.e “Linear Regression Vs Logistic Regression” we are going to see each of these algorithms in detail and finally the differences between them. Since … Read more Linear Regression Vs Logistic Regression | Machine Learning
What is reinforcement learning? Reinforcement learning is a type of machine learning that mainly aims at improving the decision-making skills of the model. It is used to solve a problem that needs a sequence of decisions to be taken in an uncertain and complex environment. For example, Playing a game of chess. Consider you are … Read more Reinforcement Learning | Machine Learning
What is unsupervised learning? “The primary aim of machine learning is to allow computers to learn automatically without human intervention or assistance and adjust actions accordingly.” Our today’s topic “unsupervised learning” is exactly aligned with this sentence. Unsupervised learning is one of the machine learning techniques where the algorithm is provided with the data that is … Read more Unsupervised Learning | Machine Learning
What is Supervised Learning? Supervised learning is the most common type of machine learning today. Typically, most of the new machine learning practitioners begin their journey with supervised learning algorithms. Supervised learning is a type of machine learning algorithm that uses a labeled dataset to train the algorithm. Labeled dataset simply means data along with … Read more Supervised Learning | Machine Learning
What is Machine Learning (ML)? While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine on how to learn. So Machine learning (ML) is basically an ability to learn and improvise from previous experiences without being explicitly programmed instructions. It is the scientific … Read more Machine Learning (ML) Introduction
Python for machine learning (ML) Python is one of the most popular languages among data scientists and others working in the field of Machine learning. The reason behind this popularity is the availability of many python machine learning libraries. So basically a library or a framework is a readily available program that can be used … Read more Python Machine Learning Libraries
In this python article we are going to see, How to merge two or more dictionaries? There are many different ways to merge multiple dictionaries and here we are going to cover few of them. There are certain advantages of each way of merging so let’s them one by one. Python Dictionary update method. Converting … Read more Merge multiple python dictionaries
In this python article, We are going to learn python built-in functions len() and getsizeof(). len(): Using len() function we can check the length of an object(count number of items). In short len() function returns us the number of elements present in the sequence (List, Tuple, String, range) or in a mapping (Dictionary or set). … Read more Python check length and size of string.
In this article we are going to learn python string count() method which is associated with python string data type. Python string count method is used to count the number of occurrences of sub-string in a string. Basically it counts the number of overlapping occurrences of a sub-string. It searches the sub-string in a given … Read more Python string count() method.