ANOVA test in Python

Hello readers! Today we will be focusing on an important statistical test in Data science — ANOVA test in Python programming, in detail. So, let us get started!! Emergence of ANOVA test In the domain of data science and machine learning, the data needs to be understood and processed prior to modelling. That is, we […]

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Ridge Regression in Python

Hello, readers! Today, we would be focusing on an important aspect in the concept of Regression — Ridge Regression in Python, in detail. So, let us get started!! Understanding Ridge Regression We all are aware that, Linear Regression estimates the best fit line and predicts the value of the target numeric variable. That is, it

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Lasso Regression in Python

Hello, readers! In our last article, we focused at Ridge Regression in Python programming, in detail. Now, we would be talking about Lasso regression in Python. So, let us get started! First, what is Lasso Regression? In the domain of data science and machine learning, our main target is to make predictions on real-life problems

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Precision and Recall in Python

Let’s talk about Precision and Recall in today’s article. Whenever we implement a classification problem (i.e decision trees) to classify data points, there are points that are often misclassified. Even though accuracy gives a general idea about how good the model is, we need more robust metrics to evaluate our model. Let’s consider an Example.

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ROC curves in Machine Learning

The ROC curve stands for Receiver Operating Characteristic curve. ROC curves display the performance of a classification model. ROC tells us how good the model is for distinguishing between the given classes, in terms of the predicted probability. In this article, we will understand ROC curves, what is AUC, and implement a binary classification problem

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