Python

How to combine two data Frame in Python – Pandas

This article will teach you how to combine two data frames using a Python program with a simple, understandable code. In the Python programming languages, we are using the Pandas library, which is a popular open-source Python library to combine two data frames. By using it, we can load, clean, analyze, and visualize the data …

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Ridge Regression in Machine Learning with Python

Ridge Regression :  Ridge Regression is used for regression tasks, particularly deal with linear regression. It deals with datasets that exhibit multicollinearity among the independent variables which can result in erratic regression coefficient estimations, which can cause overfitting and subpar generalization. To fight overfitting, Ridge Regression adds a twist to the usual linear regression recipe. …

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Quadratic Discriminant Analysis in Machine Learning with Python

QDA – Quadratic Discriminant Analysis It applies to classification problems in supervised machine It calculates the likelihood that a data point belongs to each class using the Bayes theorem. Its goal is to simulate each class’s predictor distribution independently. How it’s different from LDA? Linear Discriminant Analysis (LDA) and QDA are similar. Both employed in …

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Feature Encoding Techniques – Machine Learning

  Introduction- In machine learning, the input data or the learning dataset is in a form of numerical data. But there can be many cases where these input datasets are categorial instead of numerical. Feature encoding is a popular method used to convert the categorial data into numerical format. Encoding categorical data allows the machine …

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