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Category Archives: Machine Learning

Linear Regression: It is a commonly used type of predictive analysis. It is a statistical approach for modeling the relationship between a dependent variable and a… Read More
In data science one of the main concern is time complexity which depends largely on the number of features. In the initial years, the number… Read More
Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation that converts a set of correlated variables to a set of uncorrelated… Read More
sklearn.preprocessing.Binarizer() is a method which belongs to preprocessing module. It plays a key role in the discretization of continuous feature values. Example #1: A continuous data of… Read More
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed during the data pre-processing… Read More
Stemming is the process of producing morphological variants of a root/base word. Stemming programs are commonly referred to as stemming algorithms or stemmers. A stemming… Read More
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed during the data pre-processing. … Read More
Supervised learning: Supervised learning is the learning of the model where with input variable ( say, x) and an output variable (say, Y) and an… Read More
Feature Scaling or Standardization: It is a step of Data Pre Processing that is applied to independent variables or features of data. It basically helps… Read More
Create a Linear Regression Model in Python using a randomly created data set. Linear Regression Model Linear regression geeks for geeks Generating the Training Set… Read More
What is a Tensor Processing Unit? With machine learning gaining its relevance and importance everyday, the conventional microprocessors have proven to be unable to effectively… Read More
What is Deep Learning? Deep learning is a branch of machine learning which is completely based on artificial neural networks, as neural network is going… Read More
Data Mining: Data mining in general terms means mining or digging deep into data that is in different forms to gain patterns, and to gain… Read More
Introduction: Data cleaning is one of the important parts of machine learning. It plays a significant part in building a model. It surely isn’t the fanciest… Read More
Data science deals with identifying, representing and extracting meaningful information from data sources to be used to perform some business logics.The data scientist uses machine… Read More

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