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By Hasan Parvez on Jun 11, 2020

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Machine Learning

Machine Learning: Machine Learning is a method of teaching machines/computers to make a prediction based on some data and experien...

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)....

Simple Linear Regression: It is a linear regression model that uses two-dimensional sample points with one independent and one dep...

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...

Support Vector Regression: Support Vector Regression(SVR) is quite different than other Regression models. It uses the Support Vec...

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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