What is the Classification Algorithm? The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classesContinue Reading
Introduction to Linear Regression Linear regression is the most important statistical algorithm in machine learning to learn the correlation between a dependent variable and one or more independent features. So, we can say that the linear relation between two variables can be stated as the change (increase/decrease) in the valueContinue Reading
What is Unsupervised Learning? As the name suggests, unsupervised learning is a machine learning technique in which models are not supervised using training dataset. Instead, models itself find the hidden patterns and insights from the given data. It can be compared to learning which takes place in the human brainContinue Reading
What is Supervised Machine Learning? Supervised machine learning is a learning model in which we train the machine by input and what is the desired output. Basically, we will train the model with a set of input variables(x) and the corresponding output variables(y) and try to create a relation betweenContinue Reading
Before starting a machine learning project, data is an essential thing needed before starting a project. The data used in ML projects is in CSV (Comma Separated Value) format. It is the most common as well as simple format formats of data used in ML projects, as it is usedContinue Reading
A machine learns from a trained data set to create a model. Whenever there is a new input to the algorithm, it predicts on the basis of the model. The evaluation is made in terms of accuracy, and the algorithm is deployed only if the accuracy is accepted by theContinue Reading
Now a day’s people are very much confused with the terms called artificial intelligence, machine learning, and deep learning. For them, it seems to be that all these three concepts are exactly the same, but in reality, they are interrelated to each other but are not same. So, let’s seeContinue Reading
Python programming language is used in this tutorial to get hands-on machine learning. A compatible IDE (Integrated Development Environment) is needed to be installed on the computer system before using Python for machine learning. Now we will see how to install Python and an IDE with the help of Anaconda distribution.Continue Reading
Machine Learning professionals use a number of tools, techniques, and frameworks to develop an effective machine learning model. In the previous section, we read about Python and the inbuilt libraries in Python help in building effective models that perform accurately to solve business problems at hand. Listed below, are someContinue Reading
The three major building blocks of a Machine Learning system are the model, the parameters, and the learner. Model is the system which makes predictions The parameters are the factors which are considered by the model to make predictions The learner makes the adjustments in the parameters and the modelContinue Reading
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