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By Sharif on Aug 30, 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.Tuto...

If you have worked with linear regression models such as simple linear regression or multiple linear regression, you might have...

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

In this tutorial, we are going to understand the decision tree regression and implement it in Python What is a Decision Tree?...

In this tutorial, we will understand the decision tree regression algorithm and implement it in Python.What is a Random Forest?Ran...

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

In this article, we will go through the concept of logistic regression, a simple classification algorithm. Then we will implement...

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