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Learn Simple Linear Regression (SLR)

In this blog, we learn the basics of Simple Linear Regression (SLR), building a linear model with python libraries, and drawing inferences

Logistic Regression- Supervised Learning Algorithm for Classification

We have discussed everything you should know about the theory of Logistic Regression Algorithm as a beginner in Data Science

Regression Analysis : Real-time Portugal 2019 Election Results

In this article we will discuss how to perform the regression Analysis, a supervised learning method using Portugal 2019 election results.

How to transform features into Normal/Gaussian Distribution

A normal (or Gaussian) distribution is a type of continuous probability distribution. Learn about transformation of normal distribution

20+ Questions to Test your Skills on K-Means Clustering Algorithm

The most important questions on K means Clustering Algorithm which is helpful to get you a clear understanding of the algorithm for Interview

Spatial Interpolation With and Without Predictor(s)

Spatial interpolation is the solution for this task. It fills the areas with no values according to the surrounding data points

Traditional vs Deep Learning Classification Models | An Empirical Study!

we are presenting an experiment on traditional vs deep learning classification models. Here, we are using the amazon reviews dataset.

Importance of Cross Validation: Are Evaluation Metrics enough?

It is a statistical method used to find the performance of ML models. importance of cross validation is that it helps in getting a generalized model.

Complete guide to make Co-WIN Vaccine Registration Alert Bot

Complete Guide to Regularization Techniques in Machine Learning

Regularization is one of the most important concepts of ML. Learn about the regularization techniques in ML and the difference between them