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By Hasan Parvez on Jun 11, 2020

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Machine Learning

We are now living in the age of data. Every day we are producing immense data you can not even think of! According to some statist...

Data Preprocessing: Data Prepossessing is the first stage of building a machine learning model. It involves transforming raw data...

Regression: Basically, Regression is a statistical approach to find the correlations between variables(dependent and independent)....

Regression models try to fit the best line to a set of observed data points. While simple linear models use a straight line, other...

In this tutorial, we are going to understand the Multiple Linear Regression Algorithm and implement the algorithm with Python.Mult...

Polynomial Regression: Polynomial regression is a form of regression analysis in which the relationship between the independent va...

Probably you haven't heard much about Support Vector Regression aka SVR. I don't know why this absolutely powerful regression algo...

Decision Tree Regression: This Regression is based on the decision tree structure. A decision tree is a form of a tree or hierarch...

Random Forest Regression: The basic idea behind Random Forest is that it combines multiple decision trees to determine the final o...

The performance of a regression model can be understood by knowing the error rate of the predictions made by the model. You can al...

Classification: Classification is machine learning task of predicting the value of a categorical variable(target or class). This i...

In this article, I will go you through the logistic regression, a simple classification algorithm. Then we will implement the algo...

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