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Understand the mathematical intuition of all major Machine Learning Algorithms.
Today, we will begin with the first algorithm that everyone learns in their journey to become a Machine Learning Engineer. Before we jump into the topic, let's first discuss why linear regression? It
Since we have just begun studying machine learning, things are pretty simple at this level. In the previous article, we understood the workings of simple linear regression. Multiple linear regression
We have covered simple and multiple linear regression so far. Both of them deal with data that is linear as given in the figure below. But as you work on real world problems, you will not obviously
In this article, we will study what are the positive and negative regions of the line, and how the line changes with changes in the coefficients. Finally, we will see how to make transformations such
We have studied different types of linear regression algorithms, now we will understand logistic regression. It is one of the most important Machine Learning algorithms especially if you are going to
In the previous article, we discussed the perceptron trick. However, when we compared the result with the logistic regression model of sklearn we saw that sklearn model performs better. Infact, you ca
